Cancer immunotherapy, which uses drugs that stimulate the body’s immune cells to attack tumors, is a promising approach to treating many types of cancer. However, it doesn’t work well for some tumors, including ovarian cancer.
To elicit a better response, MIT researchers have designed new nanoparticles that can deliver an immune-stimulating molecule called IL-12 directly to ovarian tumors. When given along with immunotherapy drugs called checkpoint inhibitors, IL-12 helps the immune system launch an attack on cancer cells.
Studying a mouse model of ovarian cancer, the researchers showed that this combination treatment could eliminate metastatic tumors in more than 80 percent of the mice. When the mice were later injected with more cancer cells, to simulate tumor recurrence, their immune cells remembered the tumor proteins and cleared them again.
“What’s really exciting is that we’re able to deliver IL-12 directly in the tumor space. And because of the way that this nanomaterial is designed to allow IL-12 to be borne on the surfaces of the cancer cells, we have essentially tricked the cancer into stimulating immune cells to arm themselves against that cancer,” says Paula Hammond, an MIT Institute Professor, MIT’s vice provost for faculty, and a member of the Koch Institute for Integrative Cancer Research.
Hammond and Darrell Irvine, a professor of immunology and microbiology at the Scripps Research Institute, are the senior authors of the new study, which appears today in Nature Materials. Ivan Pires PhD ’24, now a postdoc at Brigham and Women’s Hospital, is the lead author of the paper.
“Hitting the gas”
Most tumors express and secrete proteins that suppress immune cells, creating a microenvironment in which the immune response is weakened. One of the main players that can kill tumor cells are T cells, but they get sidelined or blocked by the cancer cells and are unable to attack the tumor. Checkpoint inhibitors are an FDA-approved treatment designed to take those brakes off the immune system by removing the immune-suppressing proteins so that T cells can mount an attack on tumor cells
For some cancers, including some types of melanoma and lung cancer, removing the brakes is enough to provoke the immune system into attacking cancer cells. However, ovarian tumors have many ways to suppress the immune system, so checkpoint inhibitors alone usually aren’t enough to launch an immune response.
“The problem with ovarian cancer is no one is hitting the gas. So, even if you take off the brakes, nothing happens,” Pires says.
IL-12 offers one way to “hit the gas,” by supercharging T cells and other immune cells. However, the large doses of IL-12 required to get a strong response can produce side effects due to generalized inflammation, such as flu-like symptoms (fever, fatigue, GI issues, headaches, and fatigue), as well as more severe complications such as liver toxicity and cytokine release syndrome — which can be so severe they may even lead to death.
In a 2022 study, Hammond’s lab developed nanoparticles that could deliver IL-12 directly to tumor cells, which allows larger doses to be given while avoiding the side effects seen when the drug is injected. However, these particles tended to release their payload all at once after reaching the tumor, which hindered their ability to generate a strong T cell response.
In the new study, the researchers modified the particles so that IL-12 would be released more gradually, over about a week. They achieved this by using a different chemical linker to attach IL-12 to the particles.
“With our current technology, we optimize that chemistry such that there’s a more controlled release rate, and that allowed us to have better efficacy,” Pires says.
The particles consist of tiny, fatty droplets known as liposomes, with IL-12 molecules tethered to the surface. For this study, the researchers used a linker called maleimide to attach IL-12 to the liposomes. This linker is more stable than the one they used in the previous generation of particles, which was susceptible to being cleaved by proteins in the body, leading to premature release.
To make sure that the particles get to the right place, the researchers coat them with a layer of a polymer called poly-L-glutamate (PLE), which helps them directly target ovarian tumor cells. Once they reach the tumors, the particles bind to the cancer cell surfaces, where they gradually release their payload and activate nearby T cells.
Disappearing tumors
In tests in mice, the researchers showed that the IL-12-carrying particles could effectively recruit and stimulate T cells that attack tumors. The cancer models used for these studies are metastatic, so tumors developed not only in the ovaries but throughout the peritoneal cavity, which includes the surface of the intestines, liver, pancreas, and other organs. Tumors could even be seen in the lung tissues.
First, the researchers tested the IL-12 nanoparticles on their own, and they showed that this treatment eliminated tumors in about 30 percent of the mice. They also found a significant increase in the number of T cells that accumulated in the tumor environment.
Then, the researchers gave the particles to mice along with checkpoint inhibitors. More than 80 percent of the mice that received this dual treatment were cured. This happened even when the researchers used models of ovarian cancer that are highly resistant to immunotherapy or to the chemotherapy drugs usually used for ovarian cancer.
Patients with ovarian cancer are usually treated with surgery followed by chemotherapy. While this may be initially effective, cancer cells that remain after surgery are often able to grow into new tumors. Establishing an immune memory of the tumor proteins could help to prevent that kind of recurrence.
In this study, when the researchers injected tumor cells into the cured mice five months after the initial treatment, the immune system was still able to recognize and kill the cells.
“We don’t see the cancer cells being able to develop again in that same mouse, meaning that we do have an immune memory developed in those animals,” Pires says.
The researchers are now working with MIT’s Deshpande Center for Technological Innovation to spin out a company that they hope could further develop the nanoparticle technology. In a study published earlier this year, Hammond’s lab reported a new manufacturing approach that should enable large-scale production of this type of nanoparticle.
The research was funded by the National Institutes of Health, the Marble Center for Nanomedicine, the Deshpande Center for Technological Innovation, the Ragon Institute of MGH, MIT, and Harvard, and the Koch Institute Support (core) Grant from the National Cancer Institute.
Using classic physical phenomena to solve new problemsMarco Graffiedi, a doctoral student in nuclear science and engineering, is researching quenching processes to help cool nuclear cores, and NASA craft the next generation of space vehicles.Quenching, a powerful heat transfer mechanism, is remarkably effective at transporting heat away. But in extreme environments, like nuclear power plants and aboard spaceships, a lot rides on the efficiency and speed of the process.
It’s why Marco Graffiedi, a fifth-year doctoral student at MIT’s Department of Nuclear Science and Engineering (NSE), is researching the phenomenon to help develop the next generation of spaceships and nuclear plants.
Growing up in small-town Italy
Graffiedi’s parents encouraged a sense of exploration, giving him responsibilities for family projects even at a young age. When they restored a countryside cabin in a small town near Palazzolo, in the hills between Florence and Bologna, the then-14-year-old Marco got a project of his own. He had to ensure the animals on the property had enough accessible water without overfilling the storage tank. Marco designed and built a passive hydraulic system that effectively solved the problem and is still functional today.
His proclivity for science continued in high school in Lugo, where Graffiedi enjoyed recreating classical physics phenomena, through experiments. Incidentally, the high school is named after Gregorio Ricci-Curbastro, a mathematician who laid the foundation for the theory of relativity — history that is not lost on Graffiedi. After high school, Graffiedi attended the International Physics Olympiad in Bangkok, a formative event that cemented his love for physics.
A gradual shift toward engineering
A passion for physics and basic sciences notwithstanding, Graffiedi wondered if he’d be a better fit for engineering, where he could use the study of physics, chemistry, and math as tools to build something.
Following that path, he completed a bachelor’s and master’s in mechanical engineering — because an undergraduate degree in Italy takes only three years, pretty much everyone does a master’s, Graffiedi laughs — at the Università di Pisa and the Scuola Superiore Sant’Anna (School of Engineering). The Sant’Anna is a highly selective institution that most students attend to complement their university studies.
Graffiedi’s university studies gradually moved him toward the field of environmental engineering. He researched concentrated solar power in order to reduce the cost of solar power by studying the associated thermal cycle and trying to improve solar power collection. While the project was not very successful, it reinforced Graffiedi’s impression of the necessity of alternative energies. Still firmly planted in energy studies, Graffiedi worked on fracture mechanics for his master’s thesis, in collaboration with (what was then) GE Oil and Gas, researching how to improve the effectiveness of centrifugal compressors. And a summer internship at Fermilab had Graffiedi working on the thermal characterization of superconductive coatings.
With his studies behind him, Graffiedi was still unsure about this professional path. Through the Edison Program from GE Oil and Gas, where he worked shortly after graduation, Graffiedi got to test drive many fields — from mechanical and thermal engineering to exploring gas turbines and combustion. He eventually became a test engineer, coordinating a team of engineers to test a new upgrade to the company’s gas turbines. “I set up the test bench, understanding how to instrument the machine, collect data, and run the test,” Graffiedi remembers, “there was a lot you need to think about, from a little turbine blade with sensors on it to the location of safety exits on the test bench.”
The move toward nuclear engineering
As fun as the test engineering job was, Graffiedi started to crave more technical knowledge and wanted to pivot to science. As part of his exploration, he came across nuclear energy and, understanding it to be the future, decided to lean on his engineering background to apply to MIT NSE.
He found a fit in Professor Matteo Bucci’s group and decided to explore boiling and quenching. The move from science to engineering, and back to science, was now complete.
NASA, the primary sponsor of the research, is interested in preventing boiling of cryogenic fuels, because boiling leads to loss of fuel and the resulting vapor will need to be vented to avoid overpressurizing a fuel tank.
Graffiedi’s primary focus is on quenching, which will play an important role in refueling in space — and in the cooling of nuclear cores. When a cryogen is used to cool down a surface, it undergoes what is known as the Leidenfrost effect, which means it first forms a thin vapor film that acts as an insulator and prevents further cooling. To facilitate rapid cooling, it’s important to accelerate the collapse of the vapor film. Graffiedi is exploring the mechanics of the quenching process on a microscopic level, studies that are important for land and space applications.
Boiling can be used for yet another modern application: to improve the efficiency of cooling systems for data centers. The growth of data centers and electric transportation systems needs effective heat transfer mechanisms to avoid overheating. Immersion cooling using dielectric fluids — fluids that do not conduct electricity — is one way to do so. These fluids remove heat from a surface by leaning on the principle of boiling. For effective boiling, the fluid must overcome the Leidenfrost effect and break the vapor film that forms. The fluid must also have high critical heat flux (CHF), which is the maximum value of the heat flux at which boiling can effectively be used to transfer heat from a heated surface to a liquid. Because dielectric fluids have lower CHF than water, Graffiedi is exploring solutions to enhance these limits. In particular, he is investigating how high electric fields can be used to enhance CHF and even to use boiling as a way to cool electronic components in the absence of gravity. He published this research in Applied Thermal Engineering in June.
Beyond boiling
Graffiedi’s love of science and engineering shows in his commitment to teaching as well. He has been a teaching assistant for four classes at NSE, winning awards for his contributions. His many additional achievements include winning the Manson Benedict Award presented to an NSE graduate student for excellence in academic performance and professional promise in nuclear science and engineering, and a service award for his role as past president of the MIT Division of the American Nuclear Society.
Boston has a fervent Italian community, Graffiedi says, and he enjoys being a part of it. Fittingly, the MIT Italian club is called MITaly. When he’s not at work or otherwise engaged, Graffiedi loves Latin dancing, something he makes time for at least a couple of times a week. While he has his favorite Italian restaurants in the city, Graffiedi is grateful for another set of skills his parents gave him when was just 11: making perfect pizza and pasta.
Q&A: How MITHIC is fostering a culture of collaboration at MITA presidential initiative, the MIT Human Insight Collaborative is supporting new interdisciplinary initiatives and projects across the Institute.The MIT Human Insight Collaborative (MITHIC) is a presidential initiative with a mission of elevating human-centered research and teaching and connecting scholars in the humanities, arts, and social sciences with colleagues across the Institute.
Since its launch in 2024, MITHIC has funded 31 projects led by teaching and research staff representing 22 different units across MIT. The collaborative is holding its annual event on Nov. 17.
In this Q&A, Keeril Makan, associate dean in the MIT School of Humanities, Arts, and Social Sciences, and Maria Yang, interim dean of the MIT School of Engineering, discuss the value of MITHIC and the ways it’s accelerating new research and collaborations across the Institute. Makan is the Michael (1949) Sonja Koerner Music Composition Professor and faculty lead for MITHIC. Yang is the William E. Leonhard (1940) Professor in the Department of Mechanical Engineering and co-chair of MITHIC’s SHASS+ Connectivity Fund.
Q: You each come from different areas of MIT. Looking at MITHIC from your respective roles, why is this initiative so important for the Institute?
Makan: The world is counting on MIT to develop solutions to some of the world’s greatest challenges, such as artificial intelligence, poverty, and health care. These are all issues that arise from human activity, a thread that runs through much of the research we’re focused on in SHASS. Through MITHIC, we’re embedding human-centered thinking and connecting the Institute’s top scholars in the work needed to find innovative ways of addressing these problems.
Yang: MITHIC is very important to MIT, and I think of this from the point of view as an engineer, which is my background. Engineers often think about the technology first, which is absolutely important. But for that technology to have real impact, you have to think about the human insights that make that technology relevant and can be deployed in the world. So really having a deep understanding of that is core to MITHIC and MIT’s engineering enterprise.
Q: How does MITHIC fit into MIT’s broader mission?
Makan: MITHIC highlights how the work we do in the School of Humanities, Arts, and Social Sciences is aligned with MIT’s mission, which is to address the world’s great problems. But MITHIC has also connected all of MIT in this endeavor. We have faculty from all five schools and the MIT Schwarzman College of Computing involved in evaluating MITHIC project proposals. Each of them represent a different point of view and are engaging with these projects that originate in SHASS, but actually cut across many different fields. Seeing their perspectives on these projects has been inspiring.
Yang: I think of MIT’s main mission as using technology and many other things to make impact in the world, especially social impact. The kind of interdisciplinary work that MITHIC catalyzes really enables all of that work to happen in a new and profound way. The SHASS+ Connectivity Fund, which connects SHASS faculty and researchers with colleagues outside of SHASS, has resulted in collaborations that were not possible before. One example is a project being led by professors Mark Rau, who has a shared appointment between Music and Electrical Engineering and Computer Science, and Antoine Allanore in Materials Science and Engineering. The two of them are looking at how they can take ancient unplayable instruments and recreate them using new technologies for scanning and fabrication. They’re also working with the Museum of Fine Arts, so it’s a whole new type of collaboration that exemplifies MITHIC.
Q: What has been the community response to MITHIC in its first year?
Makan: It’s been very strong. We found a lot of pent-up demand, both from faculty in SHASS and faculty in the sciences and engineering. Either there were preexisting collaborations that they could take to the next level through MITHIC, or there was the opportunity to meet someone new and talk to someone about a problem and how they could collaborate. MITHIC also hosted a series of Meeting of the Minds events, which are a chance to have faculty and members of the community get to know one another on a certain topic. This community building has been exciting, and led to an overwhelming number of applications last year. There has also been significant student involvement, with several projects bringing on UROPs [Undergraduate Research Opportunities Program projects] and PhD students to help with their research. MITHIC gives a real morale boost and a lot of hope that there is a focus upon building collaborations at MIT and on not forgetting that the world needs humanists, artists, and social scientists.
Yang: One faculty member told me the SHASS+ Connectivity Fund has given them hope for the kind of research that we do because of the cross collaboration. There’s a lot of excitement and enthusiasm for this type of work.
Q: The SHASS+ Connectivity Fund is designed to support interdisciplinary collaborations at MIT. What’s an example of a SHASS+ project that’s worked particularly well?
Makan: One exciting collaboration is between professors Jörn Dunkel in Mathematics and In Song Kim in Political science. In Song is someone who has done a lot of work on studying lobbying and its effect upon the legislative process. He met Jörn, I believe, at one of MIT’s daycare centers, so it’s a relationship that started in a very informal fashion. But they found they actually had ways of looking at math and quantitative analysis that could complement one another. Their work is creating a new subfield and taking the research in a direction that would not be possible without this funding.
Yang: One of the SHASS+ projects that I think is really interesting is between professors Marzyeh Ghassemi in Electrical Engineering and Computer Science and Esther Duflo in Economics. The two of them are looking at how they can use AI to help health diagnostics in low-resource global settings, where there isn’t a lot of equipment or technology to do basic health diagnostics. They can use handheld, low-cost equipment to do things like predict if someone is going to have a heart attack. And they are not only developing the diagnostic tool, but evaluating the fairness of the algorithm. The project is an excellent example of using a MITHIC grant to make impact in the world.
Q: What has been MITHIC’s impact in terms of elevating research and teaching within SHASS?
Makan: In addition to the SHASS+ Connectivity Fund, there are two other possibilities to help support both SHASS research as well as educational initiatives: the Humanities Cultivation Fund and the SHASS Education Innovation Fund. And both of these are providing funding in excess of what we normally see within SHASS. It both recognizes the importance of the work of our faculty and it also gives them the means to actually take ideas to a much further place.
One of the projects that MITHIC is helping to support is the Compass Initiative. Compass was started by Lily Tsai, one of our professors in Political Science, along with other faculty in SHASS to create essentially an introductory class to the different methodologies within SHASS. So we have philosophers, music historians, etc., all teaching together, all addressing how we interact with one another, what it means to be a good citizen, what it means to be socially aware and civically engaged. This is a class that is very timely for MIT and for the world. And we were able to give it robust funding so they can take this and develop it even further.
MITHIC has also been able to take local initiatives in SHASS and elevate them. There has been a group of anthropologists, historians, and urban planners that have been working together on a project called the Living Climate Futures Lab. This is a group interested in working with frontline communities around climate change and sustainability. They work to build trust with local communities and start to work with them on thinking about how climate change affects them and what solutions might look like. This is a powerful and uniquely SHASS approach to climate change, and through MITHIC, we’re able to take this seed effort, robustly fund it, and help connect it to the larger climate project at MIT.
Q: What excites you most about the future of MITHIC at MIT?
Yang: We have a lot of MIT efforts that are trying to break people out of their disciplinary silos, and MITHIC really is a big push on that front. It’s a presidential initiative, so it’s high on the priority list of what people are thinking about. We’ve already done our first round, and the second round is going to be even more exciting, so it’s only going to gain in force. In SHASS+, we’re actually having two calls for proposals this academic year instead of just one. I feel like there’s still so much possibility to bring together interdisciplinary research across the Institute.
Makan: I’m excited about how MITHIC is changing the culture of MIT. MIT thinks of itself in terms of engineering, science, and technology, and this is an opportunity to think about those STEM fields within the context of human activity and humanistic thinking. Having this shift at MIT in how we approach solving problems bodes well for the world, and it places SHASS as this connective tissue at the Institute. It connects the schools and it can also connect the other initiatives, such as manufacturing and health and life sciences. There’s an opportunity for MITHIC to seed all these other initiatives with the work that goes on in SHASS.
Battery-powered appliances make it easy to switch from gas to electricFounded by Sam Calisch SM ’14, PhD ’19, Copper offers electric kitchen ranges that plug into standard wall outlets, with no electrical upgrades required.As batteries have gotten cheaper and more powerful, they have enabled the electrification of everything from vehicles to lawn equipment, power tools, and scooters. But electrifying homes has been a slower process. That’s because switching from gas appliances often requires ripping out drywall, running new wires, and upgrading the electrical box.
Now the startup Copper, founded by Sam Calisch SM ’14, PhD ’19, has developed a battery-equipped kitchen range that can plug into a standard 120-volt wall outlet. The induction range features a lithium iron phosphate battery that charges when energy is cheapest and cleanest, then delivers power when you’re ready to cook.
“We’re making ‘going electric’ like an appliance swap instead of a construction project,” says Calisch. “If you have a gas stove today, there is almost certainly an outlet within reach because the stove has an oven light, clock, or electric igniters. That’s big if you’re in a single-family home, but in apartments it’s an existential factor. Rewiring a 100-unit apartment building is such an expensive proposition that basically no one’s doing it.”
Copper has shipped about 1,000 of its battery-powered ranges to date, often to developers and owners of large apartment complexes. The company also has an agreement with the New York City Housing Authority for at least 10,000 units.
Once installed, the ranges can contribute to a distributed, cleaner, and more resilient energy network. In fact, Copper recently piloted a program in California to offer cheap, clean power to the grid from its home batteries when it would otherwise need to fire up a gas-powered plant to meet spiking electricity demand.
“After these appliances are installed, they become a grid asset,” Calisch says. “We can manage the fleet of batteries to help provide firm power and help grids deliver more clean electricity. We use that revenue, in turn, to further drive down the cost of electrification.”
Finding a mission
Calisch has been working on climate technologies his entire career. It all started at the clean technology incubator Otherlab that was founded by Saul Griffith SM ’01, PhD ’04.
“That’s where I caught the bug for technology and product development for climate impact,” Calisch says. “But I realized I needed to up my game, so I went to grad school in [MIT Professor] Neil Gershenfeld’s lab, the Center for Bits and Atoms. I got to dabble in software engineering, mechanical engineering, electrical engineering, mathematical modeling, all with the lens of building and iterating quickly.”
Calisch stayed at MIT for his PhD, where he worked on approaches in manufacturing that used fewer materials and less energy. After finishing his PhD in 2019, Calisch helped start a nonprofit called Rewiring America focused on advocating for electrification. Through that work, he collaborated with U.S. Senate offices on the Inflation Reduction Act.
The cost of lithium ion batteries has decreased by about 97 percent since their commercial debut in 1991. As more products have gone electric, the manufacturing process for everything from phones to drones, robots, and electric vehicles has converged around an electric tech stack of batteries, electric motors, power electronics, and chips. The countries that master the electric tech stack will be at a distinct manufacturing advantage.
Calisch started Copper to boost the supply chain for batteries while contributing to the electrification movement.
“Appliances can help deploy batteries, and batteries help deploy appliances,” Calisch says. “Appliances can also drive down the installed cost of batteries.”
The company is starting with the kitchen range because its peak power draw is among the highest in the home. Flattening that peak brings big benefits. Ranges are also meaningful: It’s where people gather around and cook each night. People take pride in their kitchen ranges more than, say, a water heater.
Copper’s 30-inch induction range heats up more quickly and reaches more precise temperatures than its gas counterpart. Installing it is as easy as swapping a fridge or dishwasher. Thanks to its 5-kilowatt-hour battery, the range even works when the power goes out.
“Batteries have become 10 times cheaper and are now both affordable and create tangible improvements in quality of life,” Calisch says. “It’s a new notion of climate impact that isn’t about turning down thermostats and suffering for the planet, it’s about adopting new technologies that are better.”
Scaling impact
Calisch says there’s no way for the U.S. to maintain resilient energy systems in the future without a lot of batteries. Because of power transmission and regulatory limitations, those batteries can’t all be located out on the grid.
“We see an analog to the internet,” Calisch says. “In order to deliver millions of times more information across the internet, we didn’t add millions of times more wires. We added local storage and caching across the network. That’s what increased throughput. We’re doing the same thing for the electric grid.”
This summer, Copper raised $28 million to scale its production to meet growing demand for its battery equipped appliances. Copper is also working to license its technology to other appliance manufacturers to help speed the electric transition.
“These electric technologies have the potential to improve people’s lives and, as a byproduct, take us off of fossil fuels,” Calisch says. “We’re in the business of identifying points of friction for that transition. We are not an appliance company; we’re an energy company.”
Looking back, Calisch credits MIT with equipping him with the knowledge needed to run a technical business.
“My time at MIT gave me hands-on experience with a variety of engineering systems,” Calisch. “I can talk to our embedded engineering team or electrical engineering team or mechanical engineering team and understand what they’re saying. That’s been enormously useful for running a company.”
He adds: “I also developed an expansive view of infrastructure at MIT, which has been instrumental in launching Copper and thinking about the electrical grid not just as wires on the street, but all of the loads in our buildings. It’s about making homes not just consumers of electricity, but participants in this broader network.”
Study reveals the role of geography in the opioid crisisThe findings point to state policies involving the presence of “pill mills” as influences on addiction over time.The U.S. opioid crisis has varied in severity across the country, leading to extended debate about how and why it has spread.
Now, a study co-authored by MIT economists sheds new light on these dynamics, examining the role that geography has played in the crisis. The results show how state-level policies inadvertently contributed to the rise of opioid addiction, and how addiction itself is a central driver of the long-term problem.
The research analyzes data about people who moved within the U.S., as a way of addressing a leading question about the crisis: How much of the problem is attributable to local factors, and to what extent do people have individual characteristics making them prone to opioid problems?
“We find a very large role for place-based factors, but that doesn’t mean there aren’t person-based factors as well,” says MIT economist Amy Finkelstein, co-author of a new paper detailing the study’s findings. “As is usual, it’s rare to find an extreme answer, either one or the other.”
In scrutinizing the role of geography, the scholars developed new insights about the spread of the crisis in relation to the dynamics of addiction. The study concludes that laws restricting pain clinics, or “pill mills,” where opioids were often prescribed, reduced risky opioid use by 5 percent over the 2006-2019 study period. Due to the path of addiction, enacting those laws near the onset of the crisis, in the 1990s, could have reduced risky use by 30 percent over that same time.
“What we do find is that pill mill laws really matter,” says MIT PhD student Dean Li, a co-author of the paper. “The striking thing is that they mattered a lot, and a lot of the effect was through transitions into opioid addiction.”
The paper, “What Drives Risky Prescription Opioid Use: Evidence from Migration,” appears in the Quarterly Journal of Economics. The authors are Finkelstein, who is the John and Jennie S. MacDonald Professor of Economics; Matthew Gentzkow, a professor of economics at Stanford University; and Li, a PhD student in MIT’s Department of Economics.
The opioid crisis, as the scholars note in the paper, is one of the biggest U.S. health problems in recent memory. As of 2017, there were more than twice as many U.S. deaths from opioids as from homicide. There were also at least 10 times as many opioid deaths compared to the number of deaths from cocaine during the 1980s-era crack epidemic in the U.S.
Many accounts and analyses of the crisis have converged on the increase in medically prescribed opioids starting in the 1990s as a crucial part of the problem; this was in turn a function of aggressive marketing by pharmaceutical companies, among other things. But explanations of the crisis beyond that have tended to fracture. Some analyses emphasize the personal characteristics of those who fall into opioid use, such as a past history of substance use, mental health conditions, age, and more. Other analyses focus on place-based factors, including the propensity of area medical providers to prescribe opioids.
To conduct the study, the scholars examined data on prescription opioid use from adults in the Social Security Disability Insurance program from 2006 to 2019, covering about 3 million cases in all. They defined “risky” use as an average daily morphine-equivalent dose of more than 120 milligrams, which has been shown to increase drug dependence.
By studying people who move, the scholars were developing a kind of natural experiment — Finkelstein has also used this same method to examine questions about disparities in health care costs and longevity across the U.S. In this case, in focusing on the opioid consumption patterns of the same people as they lived in different places, the scholars can disentangle the extent to which place-based and personal factors drive usage.
Overall, the study found a somewhat greater role for place-based factors than for personal characteristics in accounting for the drivers of risky opioid use. To see the magnitude of place-based effects, consider someone moving to a state with a 3.5 percentage point higher rate of risky use — akin to moving from the state with the 10th lowest rate of risky use to the state with the 10th highest rate. On average, that person’s probability of risky opioid use would increase by a full percentage point in the first year, then by 0.3 percentage points in each subsequent year.
Some of the study’s key findings involve the precise mechanisms at work beneath these top-line numbers.
In the research, the scholars examine what they call the “addiction channel,” in which opioid users fall into addiction, and the “availability channel,” in which the already-addicted find ways to sustain their use. Over the 2006-2019 period, they find, people falling into addiction through new prescriptions had an impact on overall opioid uptake that was 2.5 times as large as that of existing users getting continued access to prescribed opiods.
When people who are not already risky users of opioids move to places with higher rates of risky opioid use, Finkelstein observes, “One thing you can see very clearly in the data is that in the addiction channel, there’s no immediate change in behavior, but gradually as they’re in this new place you see an increase in risky opioid use.”
She adds: “This is consistent with a model where people move to a new place, have a back problem or car accident and go to a hospital, and if the doctor is more likely to prescribe opioids, there’s more of a risk they’re going to become addicted.”
By contrast, Finkelstein says, “If we look at people who are already risky users of opioids and they move to a new place with higher rates of risky opioid use, you see there’s an immediate increase in their opioid use, which suggests it’s just more available. And then you also see the gradual increase indicating more addiction.”
By looking at state-level policies, the researchers found this trend to be particularly pronounced in over a dozen states that lagged in enacting restrictions on pain clinics, or “pill mills,” where providers had more latitude to prescribe opioids.
In this way the research does not just evaluate the impact of place versus personal characteristics; it quantifies the problem of addiction as an additional dimension of the issue. While many analyses have sought to explain why people first use opioids, the current study reinforces the importance of preventing the onset of addiction, especially because addicted users may later seek out nonprescription opioids, exacerbating the problem even further.
“The persistence of addiction is a huge problem,” Li says. “Even after the role of prescription opioids has subsided, the opioid crisis persists. And we think this is related to the persistence of addiction. Once you have this set in, it’s so much harder to change, compared to stopping the onset of addiction in the first place.”
Research support was provided by the National Institute on Aging, the Social Security Administration, and the Stanford Institute for Economic Policy Research.
Injectable antenna could safely power deep-tissue medical implantsThe technology would allow battery-free, minimally invasive, scalable bioelectronic implants such as pacemakers, neuromodulators, and body process monitors.Researchers from the MIT Media Lab have developed an antenna — about the size of a fine grain of sand — that can be injected into the body to wirelessly power deep-tissue medical implants, such as pacemakers in cardiac patients and neuromodulators in people suffering from epilepsy or Parkinson’s disease.
“This is the next major step in miniaturizing deep-tissue implants,” says Baju Joy, a PhD student in the Media Lab’s Nano-Cybernetic Biotrek research group. “It enables battery-free implants that can be placed with a needle, instead of major surgery.”
A paper detailing this work was published in the October issue of IEEE Transactions on Antennas and Propagation. Joy is joined on the paper by lead author Yubin Cai, PhD student at the Media Lab; Benoît X. E. Desbiolles and Viktor Schell, former MIT postdocs; Shubham Yadav, an MIT PhD student in media arts and sciences; David C. Bono, an instructor in the MIT Department of Materials Science and Engineering; and senior author Deblina Sarkar, the AT&T Career Development Associate Professor at the Media Lab and head of the Nano-Cybernetic Biotrek group.
Deep-tissue implants are currently powered either with a several-centimeters-long battery that is surgically implanted in the body, requiring periodic replacement, or with a surgically placed magnetic coil, also of a centimeter-scale size, that can harvest power wirelessly. The coil method functions only at high frequencies, which can cause tissue heating, limiting how much power can be safely delivered to the implant when miniaturized to sub-millimeter sizes.
“After that limit, you start damaging the cells,” says Joy.
As is stated in the team’s IEEE Transactions on Antennas and Propagation paper, “developing an antenna at ultra-small dimensions (less then 500 micrometers) which can operate efficiently in the low-frequency band is challenging.”
The 200-micrometer antenna — developed through research led by Sarkar — operates at low frequencies (109 kHz) thanks to a novel technology in which a magnetostrictive film, which deforms when a magnetic field is applied, is laminated with a piezoelectric film, which converts deformation to electric charge. When an alternating magnetic field is applied, magnetic domains within the magnetostrictive film contort it in the same way that a piece of fabric interwoven with pieces of metal would contort if subjected to a strong magnet. The mechanical strain in the magnetostrictive layer causes the piezoelectric layer to generate electric charges across electrodes placed above and below.
“We are leveraging this mechanical vibration to convert the magnetic field to an electric field,” Joy says.
Sarkar says the newly developed antenna delivers four to five orders of magnitude more power than implantable antennas of similar size that rely on metallic coils and operate in the GHz frequency range.
“Our technology has the potential to introduce a new avenue for minimally invasive bioelectric devices that can operate wirelessly deep within the human body,” she says.
The magnetic field that activates the antenna is provided by a device similar to a rechargeable wireless cell phone charger, and is small enough to be applied to the skin as a stick-on patch or slipped into a pocket close to the skin surface.
Because the antenna is fabricated with the same technology as a microchip, it can be easily integrated with already-existing microelectronics.
“These electronics and electrodes can be easily made to be much smaller than the antenna itself, and they would be integrated with the antenna during nanofabrication,” Joy says, adding that the researchers’ work leverages 50 years of research and development applied to making transistors and other electronics smaller and smaller. “The other components can be tiny, and the entire system can be placed with a needle injection.”
Manufacture of the antennas could be easily scaled up, the researchers say, and multiple antennas and implants could be injected to treat large areas of the body.
Another possible application of this antenna, in addition to pacemaking and neuromodulation, is glucose sensing in the body. Circuits with an optical sensor for detecting glucose already exist, but the process would benefit greatly with a wireless power supply that can be non-invasively integrated inside of the body.
“That’s just one example,” Joy says. “We can leverage all these other techniques that are also developed using the same fabrication methods, and then just integrate them easily to the antenna.”
Burning things to make thingsSili Deng, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT, is driving research into sustainable and efficient combustion technologies.Around 80 percent of global energy production today comes from the combustion of fossil fuels. Combustion, or the process of converting stored chemical energy into thermal energy through burning, is vital for a variety of common activities including electricity generation, transportation, and domestic uses like heating and cooking — but it also yields a host of environmental consequences, contributing to air pollution and greenhouse gas emissions.
Sili Deng, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT, is leading research to drive the transition from the heavy dependence on fossil fuels to renewable energy with storage.
“I was first introduced to flame synthesis in my junior year in college,” Deng says. “I realized you can actually burn things to make things, [and] that was really fascinating.”
Deng says she ultimately picked combustion as a focus of her work because she likes the intellectual challenge the concept offers. “In combustion you have chemistry, and you have fluid mechanics. Each subject is very rich in science. This also has very strong engineering implications and applications.”
Deng’s research group targets three areas: building up fundamental knowledge on combustion processes and emissions; developing alternative fuels and metal combustion to replace fossil fuels; and synthesizing flame-based materials for catalysis and energy storage, which can bring down the cost of manufacturing battery materials.
One focus of the team has been on low-cost, low-emission manufacturing of cathode materials for lithium-ion batteries. Lithium-ion batteries play an increasingly critical role in transportation electrification (e.g., batteries for electric vehicles) and grid energy storage for electricity that is generated from renewable energy sources like wind and solar. Deng’s team has developed a technology they call flame-assisted spray pyrolysis, or FASP, which can help reduce the high manufacturing costs associated with cathode materials.
FASP is based on flame synthesis, a technology that dates back nearly 3,000 years. In ancient China, this was the primary way black ink materials were made. “[People burned] vegetables or woods, such that afterwards they can collect the solidified smoke,” Deng explains. “For our battery applications, we can try to fit in the same formula, but of course with new tweaks.”
The team is also interested in developing alternative fuels, including looking at the use of metals like aluminum to power rockets. “We’re interested in utilizing aluminum as a fuel for civil applications,” Deng says, because aluminum is abundant in the earth, cheap, and it’s available globally. “What we are trying to do is to understand [aluminum combustion] and be able to tailor its ignition and propagation properties.”
Among other accolades, Deng is a 2025 recipient of the Hiroshi Tsuji Early Career Researcher Award from the Combustion Institute, an award that recognizes excellence in fundamental or applied combustion science research.
Study: Identifying kids who need help learning to read isn’t as easy as A, B, CWhile most states mandate screenings to guide early interventions for children struggling with reading, many teachers feel underprepared to administer and interpret them.In most states, schools are required to screen students as they enter kindergarten — a process that is meant to identify students who may need extra help learning to read. However, a new study by MIT researchers suggests that these screenings may not be working as intended in all schools.
The researchers’ survey of about 250 teachers found that many felt they did not receive adequate training to perform the tests, and about half reported that they were not confident that children who need extra instruction in reading end up receiving it.
When performed successfully, these screens can be essential tools to make sure children get the extra help they need to learn to read. However, the new findings suggest that many school districts may need to tweak how they implement the screenings and analyze the results, the researchers say.
“This result demonstrates the need to have a systematic approach for how the basic science on how children learn to read is translated into educational opportunity,” says John Gabrieli, the Grover Hermann Professor of Health Sciences and Technology, a professor of brain and cognitive sciences, and a member of MIT’s McGovern Institute for Brain Research.
Gabrieli is the senior author of the new open-access study, which appears today in Annals of Dyslexia. Ola Ozernov-Palchik, an MIT research scientist who is also a research assistant professor at Boston University Wheelock College of Education and Human Development, is the lead author of the study.
Boosting literacy
Over the past 20 years, national reading proficiency scores in the United States have trended up, but only slightly. In 2022, 33 percent of fourth-graders achieved reading proficiency, compared to 29 percent in 1992, according to the National Assessment of Educational Progress reading report card. (The highest level achieved in the past 20 years was 37 percent, in 2017.)
In hopes of boosting those rates, most states have passed laws requiring students to be screened for potential reading struggles early in elementary school. In most cases, the screenings are required two or three times per year, in kindergarten, first grade, and second grade.
These tests are designed to identify students who have difficulty with skills such as identifying letters and the sounds they make, blending sounds to make words, and recognizing words that rhyme. Students with low scores in these measures can then be offered extra interventions designed to help them catch up.
“The indicators of future reading disability or dyslexia are present as early as within the first few months of kindergarten,” Ozernov-Palchik says. “And there’s also an overwhelming body of evidence showing that interventions are most effective in the earliest grades.”
In the new study, the researchers wanted to evaluate how effectively these screenings are being implemented in schools. With help from the National Center for Improving Literacy, they posted on social media sites seeking classroom teachers and reading specialists who are responsible for administering literacy screening tests.
The survey respondents came from 39 states and represented public and private schools, located in urban, suburban, and rural areas. The researchers asked those teachers dozens of questions about their experience with the literacy screenings, including questions about their training, the testing process itself, and the results of the screenings.
One of the significant challenges reported by the respondents was a lack of training. About 75 percent reported that they received fewer than three hours of training on how to perform the screens, and 44 percent received no training at all or less than an hour of training.
“Under ideal conditions, there is an expert who trains the educators, they provide practice opportunities, they provide feedback, and they observe the educators administer the assessment,” Ozernov-Palchik says. “None of this was done in many of the cases.”
Instead, many educators reported that they spent their own time figuring out how to give the evaluations, sometimes working with colleagues. And, new hires who arrived at a school after the initial training was given were often left on their own to figure it out.
Another major challenge was suboptimal conditions for administering the tests. About 80 percent of teachers reported interruptions during the screenings, and 40 percent had to do the screens in noisy locations such as a school hallway. More than half of the teachers also reported technical difficulties in administering the tests, and that rate was higher among teachers who worked at schools with a higher percentage of students from low socioeconomic (SES) backgrounds.
Teachers also reported difficulties when it came to evaluating students categorized as English language learners (ELL). Many teachers relayed that they hadn’t been trained on how to distinguish students who were having trouble reading from those who struggled on the tests because they didn’t speak English well.
“The study reveals that there’s a lot of difficulty understanding how to handle English language learners in the context of screening,” Ozernov-Palchik says. “Overall, those kids tend to be either over-identified or under-identified as needing help, but they’re not getting the support that they need.”
Unrealized potential
Most concerning, the researchers say, is that in many schools, the results of the screening tests are not being used to get students the extra help that they need. Only 44 percent of the teachers surveyed said that their schools had a formal process for creating intervention plans for students after the screening was performed.
“Even though most educators said they believe that screening is important to do, they’re not feeling that it has the potential to drive change the way that it’s currently implemented,” Ozernov-Palchik says.
In the study, the researchers recommended several steps that state legislatures or individual school districts can take to make the screening process run more smoothly and successfully.
“Implementation is the key here,” Ozernov-Palchik says. “Teachers need more support and professional development. There needs to be systematic support as they administer the screening. They need to have designated spaces for screening, and explicit instruction in how to handle children who are English language learners.”
The researchers also recommend that school districts train an individual to take charge of interpreting the screening results and analyzing the data, to make sure that the screenings are leading to improved success in reading.
In addition to advocating for those changes, the researchers are also working on a technology platform that uses artificial intelligence to provide more individualized instruction in reading, which could help students receive help in the areas where they struggle the most.
The research was funded by Schmidt Futures, the Chan Zuckerberg Initiative for the Reach Every Reader project, and the Halis Family Foundation.
This is your brain without sleep New research shows attention lapses due to sleep deprivation coincide with a flushing of fluid from the brain — a process that normally occurs during sleep.Nearly everyone has experienced it: After a night of poor sleep, you don’t feel as alert as you should. Your brain might seem foggy, and your mind drifts off when you should be paying attention.
A new study from MIT reveals what happens inside the brain as these momentary failures of attention occur. The scientists found that during these lapses, a wave of cerebrospinal fluid (CSF) flows out of the brain — a process that typically occurs during sleep and helps to wash away waste products that have built up during the day. This flushing is believed to be necessary for maintaining a healthy, normally functioning brain.
When a person is sleep-deprived, it appears that their body attempts to catch up on this cleansing process by initiating pulses of CSF flow. However, this comes at a cost of dramatically impaired attention.
“If you don’t sleep, the CSF waves start to intrude into wakefulness where normally you wouldn’t see them. However, they come with an attentional tradeoff, where attention fails during the moments that you have this wave of fluid flow,” says Laura Lewis, the Athinoula A. Martinos Associate Professor of Electrical Engineering and Computer Science, a member of MIT’s Institute for Medical Engineering and Science and the Research Laboratory of Electronics, and an associate member of the Picower Institute for Learning and Memory.
Lewis is the senior author of the study, which appears today in Nature Neuroscience. MIT visiting graduate student Zinong Yang is the lead author of the paper.
Flushing the brain
Although sleep is a critical biological process, it’s not known exactly why it is so important. It appears to be essential for maintaining alertness, and it has been well-documented that sleep deprivation leads to impairments of attention and other cognitive functions.
During sleep, the cerebrospinal fluid that cushions the brain helps to remove waste that has built up during the day. In a 2019 study, Lewis and colleagues showed that CSF flow during sleep follows a rhythmic pattern in and out of the brain, and that these flows are linked to changes in brain waves during sleep.
That finding led Lewis to wonder what might happen to CSF flow after sleep deprivation. To explore that question, she and her colleagues recruited 26 volunteers who were tested twice — once following a night of sleep deprivation in the lab, and once when they were well-rested.
In the morning, the researchers monitored several different measures of brain and body function as the participants performed a task that is commonly used to evaluate the effects of sleep deprivation.
During the task, each participant wore an electroencephalogram (EEG) cap that could record brain waves while they were also in a functional magnetic resonance imaging (fMRI) scanner. The researchers used a modified version of fMRI that allowed them to measure not only blood oxygenation in the brain, but also the flow of CSF in and out of the brain. They also measured each subject’s heart rate, breathing rate, and pupil diameter.
The participants performed two attentional tasks while in the fMRI scanner, one visual and one auditory. For the visual task, they had to look at a screen that had a fixed cross. At random intervals, the cross would turn into a square, and the participants were told to press a button whenever they saw this happen. For the auditory task, they would hear a beep instead of seeing a visual transformation.
Sleep-deprived participants performed much worse than well-rested participants on these tasks, as expected. Their response times were slower, and for some of the stimuli, the participants never registered the change at all.
During these momentary lapses of attention, the researchers identified several physiological changes that occurred at the same time. Most significantly, they found a flux of CSF out of the brain just as those lapses occurred. After each lapse, CSF flowed back into the brain.
“The results are suggesting that at the moment that attention fails, this fluid is actually being expelled outward away from the brain. And when attention recovers, it’s drawn back in,” Lewis says.
The researchers hypothesize that when the brain is sleep-deprived, it begins to compensate for the loss of the cleansing that normally occurs during sleep, even though these pulses of CSF flow come with the cost of attention loss.
“One way to think about those events is because your brain is so in need of sleep, it tries its best to enter into a sleep-like state to restore some cognitive functions,” Yang says. “Your brain’s fluid system is trying to restore function by pushing the brain to iterate between high-attention and high-flow states.”
A unified circuit
The researchers also found several other physiological events linked to attentional lapses, including decreases in breathing and heart rate, along with constriction of the pupils. They found that pupil constriction began about 12 seconds before CSF flowed out of the brain, and pupils dilated again after the attentional lapse.
“What’s interesting is it seems like this isn’t just a phenomenon in the brain, it’s also a body-wide event. It suggests that there’s a tight coordination of these systems, where when your attention fails, you might feel it perceptually and psychologically, but it’s also reflecting an event that’s happening throughout the brain and body,” Lewis says.
This close linkage between disparate events may indicate that there is a single circuit that controls both attention and bodily functions such as fluid flow, heart rate, and arousal, according to the researchers.
“These results suggest to us that there’s a unified circuit that’s governing both what we think of as very high-level functions of the brain — our attention, our ability to perceive and respond to the world — and then also really basic fundamental physiological processes like fluid dynamics of the brain, brain-wide blood flow, and blood vessel constriction,” Lewis says.
In this study, the researchers did not explore what circuit might be controlling this switching, but one good candidate, they say, is the noradrenergic system. Recent research has shown that this system, which regulates many cognitive and bodily functions through the neurotransmitter norepinephrine, oscillates during normal sleep.
The research was funded by the National Institutes of Health, a National Defense Science and Engineering Graduate Research Fellowship, a NAWA Fellowship, a McKnight Scholar Award, a Sloan Fellowship, a Pew Biomedical Scholar Award, a One Mind Rising Star Award, and the Simons Collaboration on Plasticity in the Aging Brain.
New method could improve manufacturing of gene-therapy drugsSelective crystallization can greatly improve the purity, selectivity, and active yield of viral vector-based gene therapy drugs, MIT study finds.Some of the most expensive drugs currently in use are gene therapies to treat specific diseases, and their high cost limits their availability for those who need them. Part of the reason for the cost is that the manufacturing process yields as much as 90 percent non-active material, and separating out these useless parts is slow, leads to significant losses, and is not well adapted to large-scale production. Separation accounts for almost 70 percent of the total gene therapy manufacturing cost. But now, researchers at MIT’s Department of Chemical Engineering and Center for Biomedical Innovation have found a way to greatly improve that separation process.
The findings are described in the journal ACS Nano, in a paper by MIT Research Scientist Vivekananda Bal, Edward R. Gilliland Professor Richard Braatz, and five others.
“Since 2017, there have been around 10,000 clinical trials of gene therapy drugs,” Bal says. Of those, about 60 percent are based on adeno-associated virus, which is used as a carrier for the modified gene or genes. These viruses consist of a sort of shell structure, known as capsids, that protects the genetic material within, but the production systems used to manufacture these drugs tend to produce large quantities of empty capsids with no genetic material inside.
These empty capsids, which can make up anywhere from half to 90 percent of the yield, are useless therapeutically, and in fact can be counterproductive because they can add to any immune reaction in the patient without providing any benefit. They must be removed prior to the formulation as a part of the manufacturing process. The existing purification processes are not scalable and involve multiple stages, have long processing times, and incur high product losses and high cost.
Separating full from empty capsids is complicated by the fact that in almost every way, they appear nearly identical. “They both have similar structure, the same protein sequences,” Bal says. “They also have similar molecular weight, and similar density.” Given the similarity, it’s extremely challenging to separate them. “How do you come up with a method?”
Most systems presently use a method based on chromatography, in which the mixture passes through a column of absorbent material, and slight differences in the properties can cause them to pass through at different rates, so that they can be separated out. Because the differences are so slight, the process requires multiple rounds of processing, in addition to filtration steps, adding to the time and cost. The method is also inefficient, wasting up to 30 or 40 percent of the product, Bal says. And the resulting product is still only about two-thirds pure, with a third of inactive material remaining.
There is another purification method that is widely used in the small molecule pharmaceutical industry, which uses a preferential crystallization process instead of chromatography, but this method had not been tried for protein purification — specifically, capsid-based drugs — before. Bal decided to try it, since with this method “its operating time is low and the product loss is also very low, and the purity achieved is very, very high because of the high selectivity,” he says. The method separates out empty from full capsids in the solution, as well as separating out cell debris and other useless material, all in one step, without requiring the significant pre-processing and post-processing steps needed by the other methods.
“The time required for purification using the crystallization method is around four hours, compared to that required for the chromatography method, which is about 37 to 40 hours,” he says. “So basically, it is about 10 times more effective in terms of operating time.” This novel method will reduce the cost of gene therapy drugs by five to 10 times, he says.
The method relies on a very slight difference in the electrical potential of the full versus empty capsids. DNA molecules have a slight negative charge, whereas the surface of the capsids has a positive charge. “Because of that, the overall charge density distribution of the full capsids will be different from that of the empty capsids,” he says. That difference leads to a difference in the crystallization rates, which can be used to create conditions that favor the crystallization of the full capsids while leaving the empty ones behind.
Tests proved the effectiveness of the method, which can be easily adapted to large-scale pharmaceutical manufacturing processes, he says. The team has applied for a patent through MIT’s Technology Licensing Office, and is already in discussions with a number of pharmaceutical companies about beginning trials of the system, which could lead to the system becoming commercialized within a couple of years, Bal says.
“They’re basically collaborating,” he says of the companies. “They’re transferring their samples for a trial with our method,” and ultimately the process will either be licensed to a company, or form the basis of a new startup company, he says.
In addition to Bal and Braatz, the research team also included Jacqueline Wolfrum, Paul Barone, Stacy Springs, Anthony Sinskey, and Robert Kotin, all of MIT’s Center for Biomedical Innovation. The work was supported by the Massachusetts Life Sciences Center, Sanofi S.A., Sartorius AG, Artemis Life Sciences, and the U.S. Food and Drug Administration.
The joy of life (sciences)Mary Gallagher’s deeply rooted MIT experience and love of all life supports growth at the MIT Department of Biology.For almost 30 years, Mary Gallagher has supported award-winning faculty members and their labs in the same way she tends the soil beneath her garden. In both, she pairs diligence and experience with a delight in the way that interconnected ecosystems contribute to the growth of a plant, or an idea, seeded in the right place.
Gallagher, a senior administrative assistant in the Department of Biology, has spent much of her career at MIT. Her mastery in navigating the myriad tasks required by administrators, and her ability to build connections, have supported and elevated everyone she interacts with, at the Institute and beyond.
Oh, the people you’ll know
Gallagher didn’t start her career at MIT. Her first role following graduation from the University of Vermont in the early 1980s was at a nearby community arts center, where she worked alongside a man who would become a household name in American politics.
“This guy had just been elected mayor, shockingly, of Burlington, Vermont, by under 100 votes, unseating the incumbent. He went in and created this arts council and youth office,” Gallagher recalls.
That political newcomer was none other than a young Bernie Sanders, now the longest-serving independent senator in U.S. congressional history.
Gallagher arrived at MIT in 1996, becoming an administrative assistant (aka “lab admin”) in what was then called the MIT Energy Laboratory. Shortly after her arrival, Cecil and Ida Green Professor of Physics and Engineering Systems Ernest Moniz transformed the laboratory into the MIT Energy Initiative (MITEI).
Gallagher quickly learned how versatile the work of an administrator can be. As MITEI rapidly grew, she interacted with people across campus and its vast array of disciplines at the Institute, including mechanical engineering, political science, and economics.
“Admin jobs at MIT are really crazy because of the depth of work that we’re willing to do to support the institution. I was hired to do secretarial work, and next thing I know, I was traveling all the time, and planning a five-day, 5,000-person event down in D.C.,” Gallagher says. “I developed crazy computer and event-planner skills.”
Although such tasks may seem daunting to some, Gallagher has been thrilled with the opportunities she’s had to meet so many people and develop so many new skills. As a lab admin in MITEI for 18 years, she mastered navigating MIT administration, lab finances, and technical support. When Moniz left MITEI to lead the U.S. Department of Energy under President Obama, she moved to the Department of Biology at MIT.
Mutual thriving
Over the years, Gallagher has fostered the growth of students and colleagues at MIT, and vice versa.
Friend and former colleague Samantha Farrell recalls her first days at MITEI as a rather nervous and very "green" temp, when Gallagher offered an excellent cappuccino from Gallagher’s new Nespresso coffee machine.
“I treasure her friendship and knowledge,” Farrell says. “She taught me everything I needed to know about being an admin and working in research.”
Gallagher’s experience has also set faculty across the Institute up for success.
According to one principal investigator she currently supports, Novartis Professor of Biology Leonard Guarente, Gallagher is “extremely impactful and, in short, an ideal administrative assistant."
Similarly, professor of biology Daniel Lew is grateful that her extensive MIT experience was available as he moved his lab to the Institute in recent years. “Mary was invaluable in setting up and running the lab, teaching at MIT, and organizing meetings and workshops,” Lew says. “She is a font of knowledge about MIT.”
A willingness to share knowledge, resources, and sometimes a cappuccino, is just as critical as a willingness to learn, especially at a teaching institution like MIT. So it goes without saying that the students at MIT have left their mark on Gallagher in turn — including teaching her how to format a digital table of contents on her very first day at MIT.
“Working with undergrads and grad students is my favorite part of MIT. Their generosity leaves me breathless,” says Gallagher. “No matter how busy they are, they’re always willing to help another person.”
Campus community
Gallagher cites the decline in community following the Covid-19 pandemic shutdown as one of her most significant challenges.
Prior to Covid, Gallagher says, “MIT had this great sense of community. Everyone had projects, volunteered, and engaged. The campus was buzzing, it was a hoot!”
She nurtured that community, from active participation in the MIT Women’s League to organizing an award-winning relaunch of Artist Behind the Desk. This subgroup of the MIT Working Group for Support Staff Issues hosted lunchtime recitals and visual art shows to bring together staff artists around campus, for which the group received a 2005 MIT Excellence Award for Creating Connections.
Moreover, Gallagher is an integral part of the smaller communities within the labs she supports.
Professor of biology and American Cancer Society Professor Graham Walker, yet another Department of Biology faculty member Gallagher supports, says, “Mary’s personal warmth and constant smile has lit up my lab for many years, and we are all grateful to have her as such a good colleague and friend.”
She strives to restore the sense of community that the campus used to have, but recognizes that striving for bygone days is futile.
“You can never go back in time and make the future what it was in the past,” she says. “You have to reimagine how we can make ourselves special in a new way.”
Spreading her roots
Gallagher’s life has been inextricably shaped by the Institute, and MIT, in turn, would not be what it is if not for Gallagher’s willingness to share her wisdom on the complexities of administration alongside the “joie de vivre” of her garden’s butterflies.
She recently bought a home in rural New Hampshire, trading the buzzing crowds of campus for the buzzing of local honeybees. Her work ethic is reflected in her ongoing commitment to curiosity, through reading about native plant life and documenting pollinating insects as they wander about her flowers.
Just as she can admire each bug and flower for the role it plays in the larger system, Gallagher has participated in and contributed to a culture of appreciating the role of every individual within the whole.
“At MIT’s core, they believe that everybody brings something to the table,” she says. “I wouldn’t be who I am if I didn’t work at MIT and meet all these people.”
Studying war in the new nuclear ageMIT political scientist Caitlin Talmadge scrutinizes military postures and international dynamics to understand the risks of escalation.Nuclear security can be a daunting topic: The consequences seem unimaginable, but the threat is real. Some scholars, though, thrive on the close study of the world’s most dangerous weapons. That includes Caitlin Talmadge PhD ’11, an MIT faculty member who is part of the Institute’s standout group of nuclear security specialists.
Talmadge, who joined the MIT faculty in 2023, has become a prominent scholar in security studies, conducting meticulous research about militaries’ on-the-ground capabilities and how they are influenced by political circumstances.
Earlier in her career, Talmadge studied the military capabilities of armies run by dictatorships. For much of the last decade, though, she has focused on specific issues of nuclear security: When can conventional wars raise risks of nuclear use? In what circumstances will countries ratchet up nuclear threats?
“A scenario that’s interested me a lot is one where the conduct of a conventional war actually raises specific nuclear escalation risks,” Talmadge says, noting that military operations may put pressure on an adversary’s nuclear capabilities. “There are many other instabilities in the world. But I’ve gotten pretty interested in what it means that the U.S., unlike in the Cold War when there was more of a bipolar competition, now faces multiple nuclear-armed adversaries.”
MIT is a natural intellectual home for Talmadge, who is the Raphael Dorman and Helen Starbuck Associate Professor in MIT’s Department of Political Science. She is also part of MIT’s Security Studies Program, long the home of several of the Institute’s nuclear experts, and a core member of the recently launched MIT Center for Nuclear Security Policy, which supports scholarship as well as engagement with nuclear security officials.
“I think dialogue for practitioners and scholars is important for both sides,” says Talmadge, who served on the Defense Policy Board, a panel of outside experts that directly advises senior Pentagon leaders, during the Biden administration. “It’s important for me to do scholarship that speaks to real-world problems. And part of what we do at MIT is train future practitioners. We also sometimes brief current practitioners, meet with them, and get a perspective on the very difficult problems they encounter. That interaction is mutually beneficial.”
Why coup-proofing hurts armies
From a young age, Talmadge was interested in global events, especially military operations, while growing up in a family that supported her curiosity about the world.
“I was fortunate to have parents that encouraged those interests,” Talmadge says. “Education was a really big value in our family. I had great teachers as well.”
Talmadge earned her BA degree at Harvard University, where her interests in international relations and military operations expanded.
“I didn’t even know the term security studies before I went to college,” she says. “But I did, in college, get very interested in studying the problems that had been left by the Soviet nuclear legacy.”
Talmadge then worked at a think tank before deciding to attend graduate school. She had not been fully set on academia, as opposed to, say, working in Washington policy circles. But while earning her PhD at the Institute, she recalls, “it turned out that I really liked research, and I really liked teaching. And I loved being at MIT.”
Talmadge is quick to credit MIT’s security studies faculty for their intellectual guidance, citing the encouragement of a slew of faculty, including Barry Posen (her dissertation advisor), Taylor Fravel, Roger Peterson, Cindy Williams, Owen Cote, and Harvey Sapolsky. Her dissertation examined the combat power of armies run by authoritarians.
That research became her 2015 book, “The Dictator’s Army: Battlefield Effectiveness in Authoritarian Regimes,” published by Cornell University Press. In it she examines how, for one thing, using a military for domestic “coup-proofing” limits its utility against external forces. In the Iran-Iraq war of the 1980s, to cite one example, Iraq’s military improved in the later years of the war, after coup-proofing measures were dropped, whereas Iran’s army performed worse over time as it became more preoccupied with domestic opposition.
“We tend to think of militaries as being designed for external conventional wars, but autocrats use the military for regime-protection tasks, and the more you optimize your military for doing that, sometimes it’s harder to aggregate combat power against an external adversary,” Talmadge says.
In the time since that book was published, even more examples have become evident in the world.
“It may be why the Russian invasion of Ukraine did so poorly in 2022,” she adds. “When you’re a personalist dictator and divide the military so it can’t be strong enough to overthrow you, and direct the intelligence apparatus internally instead of at Ukraine, it affects what your military can achieve. It was not the only factor in 2022, but I think the authoritarian character of Russia’s civil-military relations has played a role in Russia’s rather surprising underperformance in that war.”
On to nuclear escalation
After earning her PhD from MIT, Talmadge joined the faculty of George Washington University, where she taught from 2011 to 2018; she then served on the faculty at Georgetown University, before returning to MIT. And for the last decade, she has continued to study conventional military operations while also exploring the relationship between those operations and nuclear risk.
One issue is that conventional military strikes that might degrade an opponent’s nuclear capabilities. Talmadge is examining why states adopt military postures that threaten adversaries in this way in a book that’s in progress; her co-author is Brendan Rittenhouse Green PhD ’11, a political scientist at the University of Cincinnati.
The book focuses on why the U.S. has at times adopted military postures that increase nuclear pressure on opponents. Historically these escalatory postures have been viewed as unintentional, the result of aggressive military planning.
“In this book we make a different argument, which is that often these escalatory risks are hardwired into force posture deliberately and knowingly by civilian [government leaders] who at times have strategic rationales,” Talmadge says. “If you’re my opponent and I want to deter you from starting a war, it might be helpful to convince you that if you start that war, you’re eventually going to be backed into a nuclear corner.”
This logic may explain why many countries adopt force postures that seem dangerous, and it may offer clues as to how future wars involving the U.S., Russia, China, North Korea, India, or Pakistan could unfold. It also suggests that reining in nuclear escalation risk requires more attention to civilian decisions, not just military behavior.
While being in the middle of research, book-writing, teaching, and engaging with others in the field, Talmadge is certain she has landed in an ideal academic home, especially with MIT’s work in her field being bolstered by the Stanton Foundation gift to establish the Center for Nuclear Security Policy.
“We’re so grateful for the support of the Stanton Foundation,” Talmadge says. “It’s incredibly invigorating to be in a place with so much talent and just constantly learning from the people around you. It’s really amazing, and I do not take it for granted.”
She adds: “It is a little surreal at times to be here because I’m going into the same rooms where I have memories as myself as a grad student, but now I’m the professor. I have a little bit of nostalgia. But one of my primary reasons for coming to MIT, besides the great faculty colleagues, was the students, including the chance to work with the PhD students in the Security Studies Program, and I have not been disappointed. It doesn’t feel like work. It’s a joy to try to have a positive influence helping them become scholars.”
Astronomical data collection of Taurus Molecular Cloud-1 reveals over 100 different moleculesThe discovery will help researchers understand how chemicals form and change before stars and planets are born.MIT researchers recently studied a region of space called the Taurus Molecular Cloud-1 (TMC-1) and discovered more than 100 different molecules floating in the gas there — more than in any other known interstellar cloud. They used powerful radio telescopes capable of detecting very faint signals across a wide range of wavelengths in the electromagnetic spectrum.
With over 1,400 observing hours on the Green Bank Telescope (GBT) — the world’s largest fully steerable radio telescope, located in West Virginia — researchers in the group of Brett McGuire collected the astronomical data needed to search for molecules in deep space and have made the full dataset publicly available. From these observations, published in The Astrophysical Journal Supplement Series (ApJS), the team censused 102 molecules in TMC-1, a cold interstellar cloud where sunlike stars are born. Most of these molecules are hydrocarbons (made only of carbon and hydrogen) and nitrogen-rich compounds, in contrast to the oxygen-rich molecules found around forming stars. Notably, they also detected 10 aromatic molecules (ring-shaped carbon structures), which make up a small but significant fraction of the carbon in the cloud.
“This project represents the single largest amount of telescope time for a molecular line survey that has been reduced and publicly released to date, enabling the community to pursue discoveries such as biologically relevant organic matter,” said Ci Xue, a postdoc in the McGuire Group and the project’s principal researcher. “This molecular census offers a new benchmark for the initial chemical conditions for the formation of stars and planets.”
To handle the immense dataset, the researchers built an automated system to organize and analyze the results. Using advanced statistical methods, they determined the amounts of each molecule present, including variations containing slightly different atoms (such as carbon-13 or deuterium).
“The data we’re releasing here are the culmination of more than 1,400 hours of observational time on the GBT, one of the NSF’s premier radio telescopes,” says McGuire, the Class of 1943 Career Development Associate Professor of Chemistry. “In 2021, these data led to the discovery of individual PAH molecules in space for the first time, answering a three-decade-old mystery dating back to the 1980s. In the following years, many more and larger PAHs have been discovered in these data, showing that there is indeed a vast and varied reservoir of this reactive organic carbon present at the earliest stages of star and planet formation. There is still so much more science, and so many new molecular discoveries, to be made with these data, but our team feels strongly that datasets like this should be opened to the scientific community, which is why we’re releasing the fully calibrated, reduced, science-ready product freely for anyone to use.”
Overall, this study provides the single largest publicly released molecular line survey to date, enabling the scientific community to pursue discoveries such as biologically relevant molecules. This molecular census offers a new benchmark for understanding the chemical conditions that exist before stars and planets form.
MIT students thrive in internships in the Arab WorldThe MISTI Arab World program offers MIT students invaluable work and life experiences in a dynamic region.This summer, nine MIT students worked across the Middle East through the MISTI Arab World Program.
“At MISTI Arab World, the most impactful learning occurs when students venture beyond their comfort zones and experience the richness of a dynamic region,” says Maye Elqasem, program administrator of MISTI Arab World. “Our students return not only with new technical and professional capabilities, but also with a greater sense of self, resilience, and global awareness.”
Since it launched in 2014, more than 200 students have participated in MISTI Arab World, providing them with essential international perspectives while connecting them to meaningful work.
“Each internship is a bridge connecting MIT to the region, bridging theory with implementation,” Elqasem says.
Seeing the Middle East for herself
One of this year’s students was junior Khadiza Rahman, a chemical and biological engineering major. Born in Bangladesh and raised in Queens, New York, Rahman hadn’t left the United States in over a decade. She spent 10 weeks in Casablanca, Morocco, working at the OCP Group, the world’s largest phosphate mining company.
Rahman’s interest in the region was sparked last year as a student in class 21H.161 (The Modern Middle East), a course taught by Pouya Alimagham.
“It was an eye-opening class. Through scholarly works, my opinion of the region changed and I realized biases that I held. It made me want to go to the Middle East to see it for myself,” she says.
Her internship was with Pixel, a sustainability startup incubated at OCP through Le Mouvement, an internal initiative where employees pitch business ideas at a demo day (similar to those often hosted at MIT) and then receive seed funding and the workday space to launch them.
“Pixel aims to create an integrated system for helping farmers around the world get better crop results,” Rahman explains.
“I essentially combined genomic, climate, and environmental data to create a model to provide actionable forecasts that could be used for policy decisions. For example, if we were to receive the climate data, it could predict the biological richness and diversity of the soil.”
The experience reinforced her interest in engineering and management while also challenging and inspiring her in unexpected ways. For example, her coworkers began each day with tea and conversation. This “human-centered approach” is something she hopes to carry into her own career.
For housing, Rahman was paired with another MISTI intern at an apartment in Casablanca’s financial center. “At the beginning, I was a little afraid to venture outside my comfortable apartment, but the real experiences you get from MISTI come from going out and exploring,” she says.
One highlight was a hike in the Ourika Valley outside Marrakech. “I wasn’t sure if I was physically prepared for a long hike,” she admits. “We climbed a really high mountain in the Ourika Valley. It was scary at first, but it turned into an amazing experience, with incredible views of the mountain range and waterfalls. I stood there at the peak and realized that I should never have doubted myself in the first place.”
That’s a lesson that Rahman says she’ll remember amidst whatever challenges her future career throws her way.
Harnessing AI to improve the passenger experience
MIT senior Amitoj Singh, an electrical engineering and computer science major, joined MISTI after taking four courses on Middle Eastern history and politics. His internship with Abu Dhabi Airports combined his regional interest with his technical expertise and gave him a new sense of direction.
Raised near Los Angeles, Singh had never left North America. He first connected with MISTI in January 2025 through doing a short internship in a startup in the MITdesignX accelerator in Dubai. After helping a fintech company streamline United Arab Emirates mortgage applications using artificial intelligence, he sought out another, longer work opportunity.
Elqasem worked closely with him to finalize a placement with Abu Dhabi Airports Smart Airports Initiative.
“My skill set fit what the airport was looking for, and it turned out to be a perfect match,” Singh says.
MISTI also paired him with mentor Rajeet Sampat, a 2017-18 MIT Sloan Fellow and vice president of strategy at Abu Dhabi Airports.
“My day-to-day work in the office involved working on an independent use-case, which is developing an application of machine learning and AI software to perform predictive data analysis at Abu Dhabi Airports,” Singh says.
The Smart Airports Initiative uses biometrics and AI to streamline travel — from facial recognition that replaces stressfully long check-ins to real-time virtual simulations of airport operations.
“For example, if an airline experiences an unexpected flight delay, air traffic controllers would be able to seamlessly visit their virtual environment dashboard to make an immediate decision about which terminals the aircraft can park at when it arrives, eliminating further delays,” Singh explains.
Despite the fact that he was directing various airport divisions, Sampat took his mentoring responsibility seriously, meeting with Singh weekly, helping him to clarify strengths and identify aspects of work that could bring long-term fulfillment.
“Very inclusive, collaborative, and startup-inspired,” is how Sampat describes his office’s culture.
For Singh, the most valuable lesson was learning to work in a global environment with colleagues from many backgrounds and specialties. “When I got stuck, there was always someone to ask for help in finding a solution,” he says. “They were highly welcoming and collaborative.”
Singh is still exploring career paths, but discovered he seeks work that connects him to others and “ultimately be able to use college as a journey that will eventually help me to give back to others more.”
Sampat offered him advice: “You can be somebody who enjoys coding and putting things together, but there’s another side of things in the corporate world. I need people with strengths like you to also strategize and lead the way.” To push him, Sampat invited Singh to join the AI team in shaping future strategy. “That is how a coder turns into a leader,” he says.
To learn more about applying or partnering with the program, visit the MISTI Arab World website.
MIT students stretch minds and bodiesExercise is Medicine class integrates physical activity and academics.We’ve known since ancient times that physical activity can prevent and treat a broad range of mental and physical illnesses. But today, exercise is not a central focus of modern health-care systems. Why? This is the motivating question behind MIT’s class STS.041/PE&W.0537 (Exercise is Medicine: From Ancient Civilizations to Modern Healthcare Systems) — a collaboration between the MIT Program in Science, Technology, and Society (STS) and the Department of Athletics, Physical Education, and Recreation (DAPER).
Going beyond the MIT tradition of hands-on learning, Exercise is Medicine (EIM) offers full-body experiential education, combining readings, lectures, and physical activity at the Zesiger Center and on MIT’s playing fields. Students investigate topics including barriers to exercise, loneliness as a public health issue, and social determinants of health through partner acrobatics, broomball, and sailing. During midterm week, they reflect on the mental health impact of activities, including meditation and pickleball. They also learn about the principles of traditional Chinese medicine through Qigong.
Co-taught by professors Jennifer Light and Carrie Moore, in addition to other DAPER instructors, EIM was first offered in spring 2024 for 20 undergraduates. Students from every major are invited to enroll — the next offering filled quickly, doubling in size to 40 students, with a long waitlist.
Exercise is Medicine is one of three courses Light and Moore offer as part of the MIT Project on Embodied Education, launched in 2022. Professor Light was eager to create an academic class where students spent at least 50 percent of their learning time out of their seats doing a physical activity that reinforced the academic objectives she was presenting.
“I was developing a new research project on the ancient wisdom and modern science of movement and learning, and was looking to develop courses that put this method into practice. Through Anthony Grant, athletic director and head of the DAPER, I connected with Carrie. We are having so much fun collaborating; one course quickly became two, and now three,” says Light.
History of medicine and health systems courses have long been a staple of the STS program. In EIM, students visit with MIT Chief Health Officer Cecelia Stuopis, who offers insight into the place of exercise in health care throughout the history of the Institute. Discussions also include the economic factors that may impact ideas and innovations from STEM fields.
The partnership with DAPER helps students deepen their understanding of the readings and lectures and, Light hopes, sets them up to find ways to integrate movement into their lives after the semester’s end. Moore adds, “This course allows students to reflect on the impact of movement on their cognition — experiencing increases in motivation, mood, focus, and community, as well as improved retention of content by engaging more parts of the brain.”
“DAPER instructors have an amazing ability to make so many physical activities accessible at the beginner level, and students come away from the course appreciating new activities they can do while on campus or as they move into the real world,” says Light.
Nathan Kim, a senior in Course 15 (Management), says, “When I think of my MIT education, I mostly think about problem sets and studying for exams. Learning is initially thought of as a cognitive output and performance. Even in project-based classes, there’s little attention to the body’s role in comprehension. However, this course broke that mold. Instead of treating the body as separate from the mind, it treated it as an essential partner in learning.”
“I love that this class stretches students’ minds and bodies at the same time. They get to learn serious academic content, try all sorts of new physical activities, and do so in a context that aims to make what they’re learning personally relevant to the remainder of their time in college and life beyond. The idea that their bodies aren’t just there to transport their heads around campus — but can be resources for academic learning — is a revelation to pretty much everyone in the class,” says Light.
Emily Zhou, a senior in computer science and engineering, adds, “After reading about the role of team sports in reducing loneliness and improving mental health, I didn’t expect the connection to feel so immediate. But the moment I was slipping and falling on the ice [while playing broomball] with my teammates, some of whom I had never met before, it clicked for me. As we coordinated strategies and cheered together every time we made a goal, I gained a deeper understanding of the reading, and why collective physical activity builds meaningful connections. I could genuinely feel how community forms differently when I’m trusting people with my physical body.”
“It’s a unique and enriching experience for the students to have experiential learning be a component of the class. Not only does it create shared memories of something special that we hope they will have for a lifetime, but it’s also a lot of fun. It frees their minds from to-do lists and other tasks and it gives them extra energy throughout the day. Their brains may be tired at the end of the day, but not their bodies,” says Moore.
The class also fulfills MIT’s General Institute Requirements. Students who successfully complete the class earn HASS credit and two Physical Education and Wellness points.
Earlier this year, Light and Moore presented findings from their ongoing class collaborations at the National Association for Kinesiology in Higher Education conference. The pair showcased how they connected the academic side of MIT with the activity side of campus, with the hopes of inspiring others to follow in a similar direction. They’re also working to help other MIT instructors bridge the two sides of Massachusetts Avenue.
“Professor Light and I have created a synergy of what education could be,” says Moore. “The model created works at MIT and is received well by our students, so we want to help faculty reshape the way they teach to enrich learning and the student experience. We hope that when our students become leaders in their careers, they will share the lessons they learned in our classes with their colleagues. If they do so, then we’ve done our job.”
Support with purpose, driven by empathyProfessors Michael McDonald and Kristala Prather are honored as “Committed to Caring.”MIT professors Michael McDonald and Kristala Prather embody a form of mentorship defined not only by technical expertise, but by care. They remind us that the most lasting academic guidance is not only about advancing research, but about nurturing their students along the way.
For McDonald’s students, his presence is one of deep empathy and steady support. They describe him as fully committed to their well-being and success — someone whose influence reaches beyond academics to the heart of what it means to feel valued in a community. Prather is celebrated for the way she invests in her mentees beyond formal advising, offering guidance and encouragement that helps them chart paths forward with confidence.
Together, they create spaces where students are affirmed as individuals as well as scholars.
Professors McDonald and Prather are members of the 2023–25 Committed to Caring cohort, recognized for their dedication to fostering growth, resilience, and belonging across MIT.
Michael McDonald: Empathetic, dedicated, and deeply understanding
Michael McDonald is an associate professor of physics at the MIT Kavli Institute for Astrophysics and Space Research. His research focuses on the evolution of galaxies and clusters of galaxies, and the role that environment plays in dictating this evolution.
A shining example of an empathetic and caring advisor, McDonald supports his students, fostering an environment where they can overcome challenges and grow with confidence. One of his students says that “if one of his research or class students is progressing slowly or otherwise struggling, he treats them with respect, care, and understanding, enabling them to maintain confidence and succeed.”
McDonald also goes above and beyond in offering help and guidance, never expecting thanks, praise, or commendation. A student expressed, “he does not need to be asked to advocate for students experiencing personal or academic challenges. He does not need to be asked to improve graduate student education and well-being at MIT. He does not need to be asked to care for students who may otherwise be left behind.”
When asked to describe his advising style, McDonald shared the mantra “we’re humans first, scientists second." He models his commitment to this idea, prioritizing balance for himself while also ensuring that his students feel happy and fulfilled. “If I’m not doing well, or am unhappy with my own work/life balance, then I’m not going to be a very good or understanding advisor,” McDonald says.
Students are quick to identify McDonald as a dedicated and deeply understanding teacher and mentor. “Mike was consistently engaging, humble, and kind, both bolstering our love of astrophysics and making us feel welcome and supported,” one advisee commended.
On top of weekly meetings, he conducts separate check-ins with his students on a semesterly basis to track not only their accomplishments and progress toward their personal goals, but also to evaluate his own mentoring and identify areas of improvement.
McDonald “thinks deeply and often about the long-term trajectory of his advisees, how they will fit into the modern research landscape, and helps them to develop professional and personal support networks that will help them succeed and thrive.”
McDonald feels that projects should be so much fun that they do not feel like work. To this end, he spends a lot of time developing and fleshing out a wide variety of research projects. When he takes on a new student, he presents them with five to 10 possible projects that they could lead, and works with them to find the one that is best matched to the student’s interests and abilities.
“This is a lot of work on my end — and many of these projects never see the light of day — but I think it leads to better outcomes and happier group members,” McDonald says. One of the most impactful qualities in a mentor and supervisor is how they deal with challenges and failures, both their own and those of others, which McDonald does very effectively.
One nominator sums up McDonald’s character, writing that “Michael McDonald fully embodies the spirit of Committed to Caring as a teacher, advisor, counselor, and role model for the MIT community. He consistently impacts the lives of his students, mentees, and the physics community as a whole, encouraging us to be the best versions of ourselves while striving to be a better mentor, father, and friend.”
Kristala Prather: Meaningful support and departmental impact
Kristala Prather is the Arthur Dehon Little Professor of Chemical Engineering and is the head of the Department of Chemical Engineering. Her research involves the design and assembly of novel pathways for biological synthesis, enhancement of enzyme activity and control of metabolic flux, and bioprocess engineering and design.
Prather has proven to be a dedicated mentor and role model for her students, particularly those from underrepresented backgrounds. One nominator mentions that as an immigrant woman of color with no prior exposure to academia before coming to MIT, Prather’s guidance has been extremely important for her. Prather has pointed the nominator to resources that she didn't know existed, and helped her navigate U.S. and academic norms that she was not well-versed in.
“As an international student navigating two new cultures (that of the U.S. as well as that of academia), it is easy to feel inadequate, confused, frustrated, or undeserving,” the student stated. Prather’s level of mentorship may not be easy to find, and it is extremely important to the success of all students, especially to marginalized students.
Prather actively listens to her students’ concerns and helps them to identify their areas of academic improvement with regard to their desired career path. She consistently creates a comfortable space for authentic conversations where mentees feel supported both professionally and personally. Through her deep caring, advisees feel a sense of belonging and worthiness in academia.
“I treat everyone fairly, which is not the same as treating everyone the same,” Prather says. This is Prather’s way of acknowledging the reality that each individual comes as a unique person; different people need different advising approaches. The goal is to get everyone to the same endpoint, irrespective of where they start.
In addition to the meaningful support which Prather provides her students, she has also dedicated extra time to mentoring. One nominator explained that Prather has been known to meet with individual students in the department to check in on their progress and help them navigate academia. She also works closely with the Office of Graduate Education to connect students from disadvantaged backgrounds to resources that will help them succeed. In the department, she is known to be a trustworthy and caring mentor.
Since much of Prather’s mentoring goes beyond her official duties, this work can easily be overlooked. It is clear that she has deliberately dedicated extra time to help students, adding to her numerous commitments and official positions both inside and outside of the department. Through their nominations, students called for the recognition of Prather’s mentorship, stating that it “has meaningfully impacted so many in the department.”
Professor Ioannis Yannas, pioneer of regenerative medicine who invented artificial skin for the treatment of severe burns, dies at 90A beloved member of the Department of Mechanical Engineering for nearly 60 years, Yannas helped save the lives of thousands of burn victims through his research and innovation.Professor Ioannis V. Yannas SM ’59, a physical chemist and engineer known for the invention of artificial skin for the treatment of severe burns, and a longtime member of the MIT faculty, died on Oct. 19 at the age of 90.
“Professor Yannas was a beloved and distinguished colleague, teacher, and mentor. The impact of his inventions, and his legacy on the field of bioengineering was immense,” says John Hart, the Class of 1922 Professor and head of the Department of Mechanical Engineering.
Yannas, known to friends and colleagues as Yanni, held appointments in the MIT Department of Mechanical Engineering and the Harvard-MIT Program in Health Sciences and Technology. His principal research interest throughout his career was the process of induced organ regeneration used to replace organs that are either severely injured or terminally diseased. His work also advanced the clinical use of collagen tubes to treat peripheral nerve injuries.
In 1969, when Yannas approached the late John Burke of Massachusetts General Hospital to collaborate, Burke took him on a tour of a children’s burn unit. “There was a great deal of human misery that was confronting me, and I felt I had to do something about it,” said Yannas in later interviews. In 1981, the pair announced their success: an amalgam of a silicone outer sheet over a scaffolding of molecular material drawn from cow tendon and shark cartilage. Offering protection from infection and dehydration, the scaffolding enabled healthy skin cells to grow. Their discovery would be transformative for the treatment of burn victims.
Their artificial skin, patented and now manufactured as Integra, is still widely used on patients with severe and extensive burns, and for other applications including some types of plastic surgery and the treatment of chronic skin wounds commonly suffered by people with diabetes. The groundbreaking advance, which was later recognized as the first example of organ regeneration in adults, had previously been considered impossible.
“Yanni’s boldness in attacking a wide array of medical problems, including spinal cord transection, in his investigations of applications of collagen-based implants, inspired others, including myself, to work toward solutions to devastating conditions such as blindness, stroke, and spinal cord injury,” says Myron Spector, professor emeritus of orthopedic surgery (biomaterials) at Massachusetts General Brigham and Harvard Medical School, and an affiliate of the Harvard-MIT Program in Health Sciences and Technology. Yannas and Spector created several MIT courses together, including 2.79 (Biomaterial-Tissue Interactions).
“As we were talking about the content [for 2.79], Yanni proposed that we codify the cell behavior underlying the tissue response to implants,” explains Spector. “Within a short time, we laid out the plan for ‘unit cell processes’ to offer students a code to decipher the often inconceivably complex cellular processes that not only underlie the tissue response to implants, but that can guide the selection of the tools necessary to engineer medical devices and reveal their targets for treatment. This was all Yanni, taking a fundamental concept, the control volume used in chemical engineering to analyze systems, and applying it to cellular processes in the human body. I since use UCPs myself all the time.”
As a colleague serving as a collaborator in teaching and in research, Spector says Yannas was eager to help and to learn, bold in his thinking, smart in his choices, able to keep his eye on the goal, respectful of students as well as faculty and other colleagues, and selfless. “These are just the traits that we teach our students to look for when seeking the collaborators who are so necessary in science and engineering.”
Yannas was born on April 14, 1935, in Athens, Greece, where he completed his high school education at Athens College. He received a BA in chemistry at Harvard College in 1957, followed by an MS in chemical engineering from MIT in 1959. After a period of industrial research on polymers at W. R. Grace & Co., in Cambridge, Massachusetts, he attended Princeton University, where he completed an MS degree in 1965 and a PhD in 1966, both in physical chemistry. Yannas joined the MIT faculty immediately thereafter and remained at the Institute for the next 59 years until his passing.
For his discoveries in organ regeneration, Yannas was elected member of the National Academy of Medicine (1987), the National Inventors Hall of Fame (2015), and the National Academy of Engineering (2017). He was also elected Fellow of the American Institute of Medical and Biomedical Engineering.
Further, he was the recipient of many prestigious awards including the Society for Biomaterials Founders Award (1982) and the Society’s Clemson Award for Applied Science and Engineering (1992). He was an author of numerous journal articles, and the sole author of the influential book, “Tissue and Organ Regeneration in Adults.”
Yannas’ work, and 2015 induction into the National Inventors Hall of Fame, was the subject of “Hope Regenerated,” a video produced by the MIT Department of Mechanical Engineering. The film chronicles the development of Integra, which was initially characterized as a “failed experiment” but became a life-saving discovery that launched a new field of regenerative medicine.
“My father's relationship with MIT was deeply meaningful to him,” says Tania Yannas Kluzak. “He regarded MIT as the ideal partner in his life's work — pioneering lifesaving research in organ regeneration.”
Yannas was predeceased by his brother, Pavlos. He is survived by his two children, Tania Kluzak and her husband Gordon, and Alexi Yannas and his wife Maria; his grandchildren — Alexandra, Marina, Sophia, Philippos, and Nefeli; his sister, Elizabeth Sitinas; and many loving relatives and friends. A celebration of life will be announced at a later date.
With a new molecule-based method, physicists peer inside an atom’s nucleus An alternative to massive particle colliders, the approach could reveal insights into the universe’s starting ingredients.Physicists at MIT have developed a new way to probe inside an atom’s nucleus, using the atom’s own electrons as “messengers” within a molecule.
In a study appearing today in the journal Science, the physicists precisely measured the energy of electrons whizzing around a radium atom that had been paired with a fluoride atom to make a molecule of radium monofluoride. They used the environments within molecules as a sort of microscopic particle collider, which contained the radium atom’s electrons and encouraged them to briefly penetrate the atom’s nucleus.
Typically, experiments to probe the inside of atomic nuclei involve massive, kilometers-long facilities that accelerate beams of electrons to speeds fast enough to collide with and break apart nuclei. The team’s new molecule-based method offers a table-top alternative to directly probe the inside of an atom’s nucleus.
Within molecules of radium monofluoride, the team measured the energies of a radium atom’s electrons as they pinged around inside the molecule. They discerned a slight energy shift and determined that electrons must have briefly penetrated the radium atom’s nucleus and interacted with its contents. As the electrons winged back out, they retained this energy shift, providing a nuclear “message” that could be analyzed to sense the internal structure of the atom’s nucleus.
The team’s method offers a new way to measure the nuclear “magnetic distribution.” In a nucleus, each proton and neutron acts like a small magnet, and they align differently depending on how the nucleus’ protons and neutrons are spread out. The team plans to apply their method to precisely map this property of the radium nucleus for the first time. What they find could help to answer one of the biggest mysteries in cosmology: Why do we see much more matter than antimatter in the universe?
“Our results lay the groundwork for subsequent studies aiming to measure violations of fundamental symmetries at the nuclear level,” says study co-author Ronald Fernando Garcia Ruiz, who is the Thomas A. Franck Associate Professor of Physics at MIT. “This could provide answers to some of the most pressing questions in modern physics.”
The study’s MIT co-authors include Shane Wilkins, Silviu-Marian Udrescu, and Alex Brinson, along with collaborators from multiple institutions including the Collinear Resonance Ionization Spectroscopy Experiment (CRIS) at CERN in Switzerland, where the experiments were performed.
Molecular trap
According to scientists’ best understanding, there must have been almost equal amounts of matter and antimatter when the universe first came into existence. However, the overwhelming majority of what scientists can measure and observe in the universe is made from matter, whose building blocks are the protons and neutrons within atomic nuclei.
This observation is in stark contrast to what our best theory of nature, the Standard Model, predicts, and it is thought that additional sources of fundamental symmetry violation are required to explain the almost complete absence of antimatter in our universe. Such violations could be seen within the nuclei of certain atoms such as radium.
Unlike most atomic nuclei, which are spherical in shape, the radium atom’s nucleus has a more asymmetrical configuration, similar to a pear. Scientists predict that this pear shape could significantly enhance their ability to sense the violation of fundamental symmetries, to the extent that they may be potentially observable.
“The radium nucleus is predicted to be an amplifier of this symmetry breaking, because its nucleus is asymmetric in charge and mass, which is quite unusual,” says Garcia Ruiz, whose group has focused on developing methods to probe radium nuclei for signs of fundamental symmetry violation.
Peering inside the nucleus of a radium atom to investigate fundamental symmetries is an incredibly tricky exercise.
“Radium is naturally radioactive, with a short lifetime and we can currently only produce radium monofluoride molecules in tiny quantities,” says study lead author Shane Wilkins, a former postdoc at MIT. “We therefore need incredibly sensitive techniques to be able measure them.”
The team realized that by placing a radium atom in a molecule, they could contain and amplify the behavior of its electrons.
“When you put this radioactive atom inside of a molecule, the internal electric field that its electrons experience is orders of magnitude larger compared to the fields we can produce and apply in a lab,” explains Silviu-Marian Udrescu PhD ’24, a study co-author. “In a way, the molecule acts like a giant particle collider and gives us a better chance to probe the radium’s nucleus.”
Energy shift
In their new study, the team first paired radium atoms with fluoride atoms to create molecules of radium monofluoride. They found that in this molecule, the radium atom’s electrons were effectively squeezed, increasing the chance for electrons to interact with and briefly penetrate the radium nucleus.
The team then trapped and cooled the molecules and sent them through a system of vacuum chambers, into which they also sent lasers, which interacted with the molecules. In this way the researchers were able to precisely measure the energies of electrons inside each molecule.
When they tallied the energies, they found that the electrons appeared to have a slightly different energy compared to what physicists expect if they did not penetrate the nucleus. Although this energy shift was small — just a millionth of the energy of the laser photon used to excite the molecules — it gave unambiguous evidence of the molecules’ electrons interacting with the protons and neutrons inside the radium nucleus.
“There are many experiments measuring interactions between nuclei and electrons outside the nucleus, and we know what those interactions look like,” Wilkins explains. “When we went to measure these electron energies very precisely, it didn’t quite add up to what we expected assuming they interacted only outside of the nucleus. That told us the difference must be due to electron interactions inside the nucleus.”
“We now have proof that we can sample inside the nucleus,” Garcia Ruiz says. “It’s like being able to measure a battery’s electric field. People can measure its field outside, but to measure inside the battery is far more challenging. And that’s what we can do now.”
Going forward, the team plans to apply the new technique to map the distribution of forces inside the nucleus. Their experiments have so far involved radium nuclei that sit in random orientations inside each molecule at high temperature. Garcia Ruiz and his collaborators would like to be able to cool these molecules and control the orientations of their pear-shaped nuclei such that they can precisely map their contents and hunt for the violation of fundamental symmetries.
“Radium-containing molecules are predicted to be exceptionally sensitive systems in which to search for violations of the fundamental symmetries of nature,” Garcia Ruiz says. “We now have a way to carry out that search.”
This research was supported, in part, by the U.S. Department of Energy.
At MIT, a day of hands-on, kid-friendly learningOrganized by the MIT Museum, the 2025 Cambridge Science Carnival included activities with air cannons, sea bots, and electron microscopes.Back and better than ever, the Cambridge Science Carnival, an annual free family-friendly science extravaganza, was held on Sunday, Sept. 21, at the Kendall/MIT Open Space.
Founded by the MIT Museum in 2007, and organized with the support of MIT and the City of Cambridge, the 2025 event drew approximately 20,000 attendees and featured more than 140 activities, demonstrations, and installations tied to the topics of science, technology, engineering, arts, and mathematics (STEAM).
Among the carnival’s wide variety of activities was the popular robot petting zoo, an annual showcase involving more than a dozen companies and local robotics clubs, including FIRST Tech Challenge and FIRST Robotics Competition. Participants were invited to engage with a range of different robots, from building with LEGOs and erector sets to piloting underwater robots to learning about the science of automation.
“Every exhibit and every moment of discovery today reinforces why Cambridge remains a global leader in STEAM,” Cambridge Mayor Denise Simmons said in her remarks at the event. “The creativity, ingenuity, and joy on display here today are a powerful reminder that science isn’t just for labs and lecture halls — it’s for everyone.”
Other activities included an appearance from the popular kid-friendly podcast “Tumble Science,” with co-host Marshall Escamilla testing fans’ knowledge of different STEAM topics drawn from “Tumble Science.” Clark University’s smoke-ring air cannons were a particular hit with the under-7-year-old set, while “Cycle To Science” showed off a gravity-defying bicycle wheel that, while spinning, was suspended on one side by a simple piece of string. Attendees also enjoyed live music, food trucks, and activities exploring everything from pipette art to the chemistry of glass.
At the robot petting zoo, FIRST Robotics volunteer mentor Dominique Regli reflected on the event as someone who was herself first inspired by similar festivals more than a decade earlier.
“Seeing kids of all ages interact with the robots made me think back to when I was a seventh grader, and how getting to see some of these robots for the first time was truly life-changing for me,” said Regli, who has been involved with FIRST Robotics since 2018 and is now an MIT computer science PhD student and affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL). “These types of events are so important to expose students to what's possible.”
Throughout its history, a key aspect of the carnival has been MIT’s close collaboration with the City of Cambridge, which ran several activities. Cambridge Public School teachers led and the Public Works Department hosted a “Trash or Treasure” activity, which helped teach kids about recycling and composting. The carnival is a major contribution to the Institute’s objective of connecting the MIT ecosystem with Cambridge residents and local communities.
“Cambridge is one of the world’s leading science cities, with more Nobel laureates per capita than any other city on the planet,” says Michael John Gorman, director of the MIT Museum. “The Cambridge Science Carnival is a beloved day in the Cambridge calendar which brings science out of the labs and onto the streets.”
With a focus on engaging families and kids ranging from kindergarten to the eighth grade, one important outcome this year was to give undergraduate and graduate students the opportunity to showcase their work and hone their skills in clearly communicating science concepts to the public. There were over 50 activities led by MIT students, as well as participants from other local schools such as Boston College and Boston, Clark, Harvard, Northeastern, and Tufts universities.
Typically organized as part of the annual Cambridge Science Festival, this year the Cambridge Science Carnival returned as a standalone event while the larger festival undergoes a strategic transition for its relaunch in 2026. The MIT Museum offered free admission during the carnival and is always free to Cambridge residents, as well as active military, EBT cardholders, members of the Massachusetts Teachers Association, and MIT ID holders.
“For MIT researchers, discovery often happens in a lab or a classroom, but the truth is, the spark of discovery can happen anywhere,” said Alfred Ironside, MIT vice president for communications, in remarks at the event. “That’s really what today is about: feeding curiosity, encouraging questions, and showing that science is not locked away behind closed doors. It’s for everyone.”
Startup’s tablets deliver cancer drugs more evenly over timeAn MIT team’s technology could allow cancer drugs to be delivered more steadily into the bloodstream, to improve effectiveness and reduce side effects.Pills are by far the most convenient form of cancer treatment, but most oral cancer drugs quickly dissolve in the stomach, delivering a burst of chemicals into the bloodstream all at once. That can cause side effects. It also may limit the drug’s effectiveness because its concentration in the blood may become too low after the initial burst.
Now, the startup Enzian Pharmaceutics, founded by Aron Blaesi PhD ’14 and former principal research scientist Nannaji Saka ScD ’74, is developing an oral tablet that delivers drugs into the gastric fluid and the blood steadily over time. The company’s tablets use tiny 3D-printed fibers that turn into a gel-like substance when exposed to water. The tablets have been shown to stay in the stomach of animals for up to a day, slowly degrading while releasing the drug in controlled quantities.
The company is currently validating its tablets’ ability to stay in place in a small number of healthy human volunteers. In about a year, it plans to begin testing the technology’s ability to improve the effectiveness and safety of cancer drugs in patients.
“A lot of orally delivered cancer drugs could benefit from this,” says Blaesi, who incorporated the company in 2016. “Right now, soon after someone has taken a cancer drug, its concentration in the blood can be up to 50 times greater than when they are supposed to take the next pill. During the peak, the drug goes into the heart, it goes into the liver, the brain, and it can cause a lot of problems, while at the end of the dosing interval the concentration in the blood may be too low. By taking out that peak and increasing the time the drug is released, we could improve the effectiveness of treatments and mitigate certain side effects.”
In search of innovation
When Blaesi came to MIT, he knew he wanted his mechanical engineering PhD work to form the basis of a company. Early on, as part of the Novartis-MIT Center for Continuous Manufacturing, he worked on manufacturing pills with an injection molding machine that melted and solidified the material, in contrast to the traditional process of compacting powder. He noticed injection molding made the pills far less porous.
“If you put a typical pill into a fluid or into the stomach, the fluid percolates the pores and quickly dissolves it,” Blaesi explains. “That’s not the case when you have an injection molded product. That’s when Dr. Saka, who I met almost daily to discuss my research with, and I started to realize that microstructure is very important.”
The researchers began exploring how different tablet microstructures changed the rate at which drugs are released. For more precision, they moved from injection molding to 3D printing.
Using MIT machine shops, Blaesi built a 3D printer and produced tightly wound microstructures that could carry the drugs. He focused on fibrous structures with space between the fibers, because they would allow gastrointestinal fluid to percolate the pill and dissolve rapidly. He tested the structures in both his Cambridge, Massachusetts, apartment and at MIT’s shared facilities.
Blaesi then experimented with different carrier materials, finding that the higher the molecular weight, the longer it took the pill to dissolve because the material would absorb water and expand before degrading.
“Initially I thought, ‘Oh no, the drug isn’t being dissolved fast enough anymore,’” Blaesi recalls. “Then we thought, ‘Everything has its place.’ This could stay in the stomach for longer because of the expansion. Then it could release the drug over time. We realized this wouldn’t just improve manufacturing, it would improve the product.”
In 2019, Blaesi and Saka published the first paper on their expandable fibrous tablets for prolonged drug delivery. It received a mixed reception.
“Some reviewers said, ‘Research on similar gastroretentive dosage forms has been done for 40 years and no one’s really succeeded,’” Blaesi recalls. “People said, ‘It will never work. Do experiments in animals and then we’ll talk.’”
Blaesi moved back to Switzerland during the Covid-19 pandemic and ran his animal experiments there.
“The reviewers were right: What we had didn’t work,” Blaesi says. “But we adjusted the design and showed we could make the pill stay in the stomach for longer.”
Inside Enzian’s final tablet design, tiny fibers are arranged in a grid. When water flows into the spaces between the fibers, they expand to form a strong gel-like substance that slowly erodes in the stomach, steadily releasing the drug. In animal studies, Enzian’s team showed its technology allowed tablets to remain in the stomach for 12 to 24 hours before being safely excreted.
The team soon found cancer drugs would be a good fit for their technology.
“A lot of cancer drugs are only soluble in acidic solutions, so they can only be absorbed while the drug is in the stomach,” Blaesi explains. “But on an empty stomach, the drug may be in the stomach for just 30 or 40 minutes at present. For a full stomach, it’s a few hours. And because you have a short time to deliver the drug, you need to release a high dose immediately. That shoots up the blood concentration, and if you dose every 12 hours, the concentration is going down during the other 10 hours.”
From the lab to patients
In upcoming human trials, Enzian plans to use its tablets to deliver a drug for prostate cancer that Blaesi says is currently dosed at several hundred milligrams a day. He hopes to get down to about a tenth of that with a better therapeutic effect.
Enzian also believes its technology could improve treatments for blood, skin, and breast cancers.
“This could really be used to improve treatment for a variety of cancers,” Blaesi says. “We believe this is a more efficient and effective way to deliver drugs.”
Maximizing effectiveness and minimizing side effects is also important in clinical trials, where a new drug’s superiority over existing treatments must be shown, and a single adverse event can end its development.
The upcoming move into patients is the culmination of more than a decade of work for Blaesi, who is confident Enzian can deliver on its promise of improving treatments.
“The opportunity is enormous,” Blaesi says. “So many oral cancer drugs have this delivery problem. We still have to do the efficacy and safety studies on patients, but we expect this to be a game changer.”
Five with MIT ties elected to National Academy of Medicine for 2025Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.On Oct. 20 during its annual meeting, the National Academy of Medicine announced the election of 100 new members, including MIT faculty members Dina Katabi and Facundo Batista, along with three additional MIT alumni.
Election to the National Academy of Medicine (NAM) is considered one of the highest honors in the fields of health and medicine, recognizing individuals who have demonstrated outstanding professional achievement and commitment to service.
Facundo Batista is the associate director and scientific director of the Ragon Institute of MGH, MIT and Harvard, as well as the first Phillip T. and Susan M. Ragon Professor in the MIT Department of Biology. The National Academy of Medicine recognized Batista for “his work unraveling the biology of antibody-producing B cells to better understand how our body’s immune systems responds to infectious disease.” More recently, Facundo’s research has advanced preclinical vaccine and therapeutic development for globally important diseases including HIV, malaria, and influenza.
Batista earned a PhD from the International School of Advanced Studies and established his lab in 2002 as a member of the Francis Crick Institute (formerly the London Research Institute), simultaneously holding a professorship at Imperial College London. In 2016, he joined the Ragon Institute to pursue a new research program applying his expertise in B cells and antibody responses to vaccine development, and preclinical vaccinology for diseases including SARS-CoV-2 and HIV. Batista is an elected fellow or member of the U.K. Academy of Medical Sciences, the American Academy of Microbiology, the Academia de Ciencias de América Latina, and the European Molecular Biology Organization, and he is chief editor of The EMBO Journal.
Dina Katabi SM ’99, PhD ’03 is the Thuan (1990) and Nicole Pham Professor in the Department of Electrical Engineering and Computer Science at MIT. Her research spans digital health, wireless sensing, mobile computing, machine learning, and computer vision. Katabi’s contributions include efficient communication protocols for the internet, advanced contactless biosensors, and novel AI models that interpret physiological signals. The NAM recognized Katabi for “pioneering digital health technology that enables non-invasive, off-body remote health monitoring via AI and wireless signals, and for developing digital biomarkers for Parkinson’s progression and detection. She has translated this technology to advance objective, sensitive measures of disease trajectory and treatment response in clinical trials.”
Katabi is director of the MIT Center for Wireless Networks and Mobile Computing. She is also a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), where she leads the Networks at MIT Research Group. Katabi received a bachelor’s degree from the University of Damascus and MS and PhD degrees in computer science from MIT. She is a MacArthur Fellow; a member of the American Academy of Arts and Sciences, National Academy of Sciences, and National Academy of Engineering; and a recipient of the ACM Computing Prize.
Additional MIT alumni who were elected to the NAM for 2025 are:
Established originally as the Institute of Medicine in 1970 by the National Academy of Sciences, the National Academy of Medicine addresses critical issues in health, science, medicine, and related policy, and inspires positive actions across sectors.
“I am deeply honored to welcome these extraordinary health and medicine leaders and researchers into the National Academy of Medicine,” says NAM President Victor J. Dzau. “Their demonstrated excellence in tackling public health challenges, leading major discoveries, improving health care, advancing health policy, and addressing health equity will critically strengthen our collective ability to tackle the most pressing health challenges of our time.”
A “seating chart” for atoms helps locate their positions in materialsThe DIGIT imaging tool could enable the design of quantum devices and shed light on atomic-scale processes in cells and tissues.If you think of a single atom as a grain of sand, then a wavelength of visible light — which is a thousand times larger than the atom’s width — is comparable to an ocean wave. The light wave can dwarf an atom, missing it entirely as it passes by. This gulf in size has long made it impossible for scientists to see and resolve individual atoms using optical microscopes alone.
Only recently have scientists found ways to break this “diffraction limit,” to see features that are smaller than the wavelength of light. With new techniques known as super-resolution microscopy, scientists can see down to the scale of a single molecule.
And yet, individual atoms have still been too small for optical microscopes — which are much simpler and less expensive than super-resolution techniques — to distinguish, until now.
In an open-access paper appearing today in Nature Communications, MIT scientists present a new computational method that enables optical microscopes to resolve individual atoms and zero in on their exact locations in a crystal structure.
The team’s new “discrete grid imaging technique,” or DIGIT, is a computational imaging approach that scientists can apply to optical data to calculate the most probable location of individual atoms based on a very important clue: the material’s known atomic configuration. As long as scientists have an idea of what a material’s physical atomic layout should be, they can use this layout as a sort of map to determine where specific atoms or features must be located.
“It’s like you know there’s a seating chart,” says lead author Yuqin “Sophia” Duan, a graduate student in MIT’s Department of Electrical Engineering and Computer Science (EECS). “Previous methods could tell you what section an atom is in. But now we can take this seating chart as prior knowledge, and can pinpoint exactly which seat the atom is in.”
With DIGIT, the team can now pinpoint individual atoms with a resolution of 0.178 angstroms. (One angstrom is one-tenth of a nanometer, which is less than half the width of a single atom). The technique enables optical microscopes to localize atomic-scale features in any material that has a known atomic pattern, such as crystalline materials or certain proteins with repeating molecular chains.
The team says the method could help guide the design of quantum devices, which often require placing individual atoms precisely within a crystal. Beyond quantum technologies, DIGIT can also provide new insights into how defects and impurities shape the behavior of advanced materials — from semiconductors to superconductors.
Duan’s co-authors at MIT are Qiushi Gu, Hanfeng Wang, Yong Hu, Kevin Chen, Matthew Trusheim, and EECS Professor Dirk Englund.
Grid support
Scientists can image features smaller than a nanometer, and sometimes as small as a single atom, but not with optical microscopes. In these cases, they use transmission or scanning electron microscopes, which send high-energy beams of electrons into a sample to generate an image based on the pattern in which the electrons scatter. These electron-based methods produce highly detailed, near-atomic-scale images, but they require imaging in a vacuum and at high energies, and only work in ultrathin, synthetic, or solid-state materials. Electron-based imaging methods are too harsh for more delicate living specimens.
In contrast, optical microscopes work at lower energies, in ambient conditions, and are safe to apply to biological samples. But they cannot discern features past the diffraction limit. Essentially, a microscope is unable to see features that are smaller than half the wavelength of visible light (about 200 to 300 nanometers) that a microscope sends in to probe a sample. Atoms, then, have long eluded optical microscopes.
In 2014, however, the Nobel Prize in Chemistry was awarded to developers of a technique to overcome the diffraction limit. Super-resolution microscopy works by shining laser light on a sample at a specific frequency that is known to resonate with a feature of interest, such as a certain molecule. When that molecule resonates, it effectively announces its presence in the material. With this optical manipulation, scientists can visualize features as small as 10 nanometers, on the scale of a single molecule.
Duan and Englund looked to resolve even smaller features by combining super-resolution techniques with statistical analysis and knowledge of materials that has often been overlooked.
“One thing that gets ignored in imaging optical systems is the physical configuration of your system,” Duan says. “For example, if you want to visualize defects in a diamond system, these defects can only be at certain positions, since they have to follow the grid of the atomic diamond structure. In proteins, there are some structures that grow in an organized grid, and their location must be somewhere along that physical grid.”
The researchers suspected that if they had a reasonably accurate map of a material’s atomic structure (imagine the ball-and-stick models of molecules in a chemistry classroom), they might use such maps as a template and try out many different orientations and rotation angles to find the closest match to whatever features are initially visualized using super-resolution microscopy.
“No one has ever done this before, to include the physical constraints or system information into the resolution technique,” Duan says.
Blurriness, collapsed
To test their idea, the researchers worked with a sample of diamond — a crystal whose microstructure is well-understood and resembles an organized grid, or lattice, of repeating carbon atoms. The researchers blindly knocked out some carbon atoms in the lattice and replaced them with silicon atoms using facilities at MIT.nano. Their goal was to identify and determine the precise locations of the errant silicon atoms.
To do so, they first used established techniques of super-resolution microscopy to probe the diamond sample, using lasers set to specific wavelengths at frequencies known to resonate with the silicon atoms but not the carbon atoms. With this technique, researchers produced images that depicted the silicon atoms, but only as a uniform blur.
The team then applied DIGIT to further resolve the picture. Knowing that diamond in general has a grid-like configuration of carbon atoms, the researchers took this configuration as a map, or seating chart of sorts, and assumed that any silicon atoms that took the place of a carbon atom must sit within the grid, which has a known spacing between atoms.
“Because the silicon atoms are substituting carbon atoms in the lattice, that means they must obey some integer multiple of the atomic spacing of the crystal lattice, separating any two silicon atoms,” Englund says. “That prior knowledge makes the localization different than if you add a purely amorphous material.”
The researchers essentially simulated many possibilities of orientations and rotation angles of the diamond lattice, superimposed on the blurry image of atoms that the super-resolution microscopy technique produced.
“The trick is that, in certain materials, atoms aren’t spread out randomly — they sit on a grid inside a crystal,” Duan explains. “We used that prior knowledge to sharpen the microscope’s picture. Once we factored in that ‘atomic grid,’ the blurriness collapsed, and we could pinpoint exact positions.”
In the end, they found the technique could pinpoint the location of individual silicon atoms within the diamond lattice, with a precision of 0.178 angstroms — the sharpest resolution of any optical-based imaging technique. The team has made the DIGIT code available on GitHub for anyone to apply to their optical measurements, provided their sample of interest has a well-understood atomic structure. Then, they hope that scientists will start to see much finer and detailed features and processes using light.
“It’s a big step — it takes optical microscopes into the realm of atomic scale, something people thought only electron microscopes or X-rays could do,” Duan says. “That opens up a whole new way of studying materials and biology.”
Charts can be social artifacts that communicate more than just data Researchers find that design elements of data visualizations influence viewers’ assumptions about the source of the information and its trustworthiness.The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the data visualization, according to a pair of studies by MIT researchers.
For instance, if someone infers that a graph about a controversial topic like gun violence was produced by an organization they feel is in opposition with their beliefs or political views, they may discredit the information or dismiss the visualization all together.
The researchers found that even the clearest visualizations often communicate more than the data they explicitly depict, and can elicit strong judgments from viewers about the social contexts, identities, and characteristics of those who made the chart.
Readers make these assessments about the social context of a visualization primarily from its design features, like the color palette or the way information is arranged, rather than the underlying data. Often, these inferences are unintended by the designers.
Qualitative and quantitative studies revealed that these social inferences aren’t restricted to certain subgroups, nor are they caused by limited data literacy.
The researchers consolidate their findings into a framework that scientists and communicators can use to think critically about how design choices might affect these social assumptions. Ultimately, they hope this work leads to better strategies for scientific communication.
“If you are scrolling through social media and you see a chart, and you immediately dismiss it as something an influencer has produced just to get attention, that shapes your entire experience with the chart before you even dig into the data. We’ve shown in these papers that visualizations do more than just communicate the data they are depicting — they also communicate other social signals,” says Arvind Satyanarayan, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and co-senior author of this research.
He is joined on the paper by co-lead authors Amy Rae Fox, a former CSAIL postdoc, and Michelle Morgenstern, a current postdoc in MIT’s anthropology program; and co-senior author Graham M. Jones, professor of anthropology. Two related papers on this research will be presented at the IEEE Visualization Conference.
Charts as social artifacts
During the height of the Covid-19 pandemic, social media was awash in charts from organizations like the World Health Organization and Centers for Disease Control and Prevention, which were designed to convey information about the spread of disease.
The MIT researchers studied how these visualizations were being used to discuss the pandemic. They found that some citizen scientists were using the underlying data to make visualizations of their own, challenging the findings of mainstream science.
“This was an unexpected discovery as, previously, citizen scientists were typically aligned with mainstream scientists. It took us a few years to figure out how to study this phenomenon more deeply,” Satyanarayan says.
Most research into data visualization studies how charts communicate data. Instead, the researchers wanted to explore visualizations from a social and linguistic perspective to assess the information they convey beyond the data.
Linguistic anthropologists have found that, while language allows people to communicate ideas, it also holds social meaning beyond the words people use. For instance, an accent or dialect can indicate that someone is part of a particular community.
By “pointing” to certain social meanings, identities, and characteristics, language serves what is known as a socio-indexical function.
“We wanted to see if things in the visual language of data communication might point to certain institutions, or the kinds of people in those institutions, that carry a meaning that could be unintended by the makers of the visualization,” Jones says.
To do this, the researchers conducted an initial, qualitative study of users on the social media platform Tumblr. During one-on-one interviews, the researchers showed users a variety of real visualizations from online sources, as well as modified visualizations where they removed the textual information, like titles and axes labels.
Stripping out the textual information was particularly important, since it mimics the way people often interact with online visualizations.
“Our engagement with social media is a few quick seconds. People aren’t taking the time to read the title of a chart or look at the data very carefully,” Satyanarayan says.
The interviews revealed that users made detailed inferences about the people or organizations who created the visualizations based on what they called “vibes,” design elements, like colors or the use of certain graphics. These inferences in turn impacted their trust in the data.
For instance, after seeing a chart with the flags of Georgia and Texas and a graph with two lines in red and black, but no text, one user said, “This kind of looks like something a Texas Republican (legislator) would put on Twitter or on their website, or as part of a campaign presentation.”
A quantitative approach
Building on this initial work, the researchers used the same methodology in three quantitative studies involving surveys sent to larger groups of people from a variety of backgrounds.
They found the same phenomenon: People make inferences about the social context of a visualization based on its design, which can lead to misunderstandings about, and mistrust in, the data it depicts.
For instance, users felt some visualizations were so neatly arranged they believed them to be advertisements, and therefore not trustworthy. In another example, one user dismissed a chart by a Pulitzer-prize winning designer because they felt the hand-drawn graphical style indicated it was made by “some female Instagram influencer who is just trying to look for attention.”
“If that is the first reaction someone has to a chart, it is going to massively impact the degree to which they trust it,” Satyanarayan says.
Moreover, when the researchers reintroduced text in the visualizations from which it had been removed, users still made these social inferences.
Typically, in data visualization, the solution to such a problem would be to create clearer charts or educate people about data literacy. But this research points to a completely different kind of data literacy, Jones says.
“It is not erroneous for people to be drawing these inferences. It requires a lot of cultural knowledge about where visualizations come from, how they are made, and how they circulate. Drawing these inferences is a feature, not a bug, of the way we use signs,” he says.
From these results, they created a classification framework to organize the social inferences users made and the design elements that contributed to them. They hope the typology serves as a tool designers can use to develop more effective visualizations, as well as a starting point for additional studies.
Moving forward, the researchers want to continue exploring the role of data visualizations as social artifacts, perhaps by drilling down on each design feature they identified in the typology. They also want to expand the scope of their study to include visualizations in research papers and scientific journals.
“Part of the value of this work is a methodological contribution to render a set of phenomena amenable to experimental study. But this work is also important because it showcases an interdisciplinary cross-pollination that is powerful and unique to MIT,” Jones says.
This work was supported, in part, by MIT METEOR and PFPFEE fellowships, an Amar G. Bose Fellowship, an Alfred P. Sloan Fellowship, and the National Science Foundation.
The student becomes the teacherTitus Roesler was ready to drop his class in signal processing. Now, he hopes to become an expert in the field.Coming from a small high school in rural South Dakota that didn’t offer advanced placement (AP) classes, Titus Roesler ’25 didn’t have the easiest start at MIT. But when his efforts to catch up academically to his peers led to a job as a teaching assistant, it changed everything.
Roesler, who graduated last spring with a bachelor’s degree in electrical engineering and is now working on a master’s, has built a reputation for himself as a student-teacher at MIT. Since discovering his affinity for teaching and mentoring, he’s been a teaching assistant for four different classes and designed two seminars from scratch.
Through teaching, Roesler has not only helped other students, but also improved his own grasp of complex subjects. That includes signal processing, which involves manipulating signals, such as radio waves, to make them more useful for applications like wireless communications. He has become fascinated by the topic and hopes to continue working in the field.
Roesler lights up when talking about teaching, but he didn’t always think it was in the cards.
“I don't know that anyone who knew me pre-MIT would believe that I do things like give recitations to crowded rooms, because I think everyone thought, ‘Titus is that quiet kid, he never talked at all.’”
Learning through teaching
Growing up in Marion, South Dakota, a town with a population around 800, Roesler didn’t have MIT on his radar, but he knew he liked math. His high school capstone project involved helping his classmates on the math section of the ACT, and he tutored a few of his classmates. His teacher let him teach trigonometry one day, and he toured local colleges with the plan of becoming a high school math teacher.
But that changed after he self-studied calculus through MIT’s OpenCourseWare offerings and set his sights on the Institute.
Roesler worked overtime during his first year at MIT to catch up with what his peers had learned back in high school. On his first physics exam, he answered only one question correctly — a multiple-choice question he had guessed on. But MIT’s Experimental Study Group (ESG) kept him afloat during his first year, and it quickly led to more opportunities.
When, in the spring of his first year, his multivariable calculus instructor asked him to stay after class one day, Roesler was sure he was in trouble. She actually wanted to see if he could TA for her next year.
“I was flattered because there was still a month left in the class. Plenty of time for me to fail,” Roesler jokes.
He loved the job. During a Friday night office hour session, he stayed for extra hours to help a student whom he saw a lot of himself in — someone who was also from a rural background and had also entered MIT without a strong mathematics background. He went on to become the student’s tutor. The position gave him the opportunity to be the teacher he’d always wanted to have.
As a TA, “I wasn't coming at things from the perspective of ‘Everyone already knows A, B, C’ before I explained. I would always try to start from the ground up and give my perspective on it,” Roesler says.
From his mentorship and teaching work, he received the Undergraduate Teaching Award from the Department of Electrical Engineering and Computer Science and the Outstanding Associate Advisor Award from the Office of the First Year. After joining ESG during his first year, Roesler stayed on as an associate advisor in the learning community for the next three years. His work earned him the Fiekowsky Award for Excellence in Teaching and the Fiekowsky Award for Community Service.
The right blend
Signal processing, the focus of his graduate work, “is where calculus, geometry, linear algebra, probability, statistics, algorithms, and numerical analysis all come into play on practical problems of real-world interest,” Roesler says. “For me, it’s the right blend of theory and application.”
Due to the field’s wide scope, Roesler notices potential applications for signal processing everywhere, and how different fields intersect within the discipline. “Everything comes together in just the right way,” he says.
He is especially interested in signal-processing problems such as source separation, which aims to recover a set of source signals from a set of mixed signals. During his senior year, he spent two semesters on a project where he wrote a Python program to separate harmonies in Bach chorales.
For his master’s degree, following a summer research internship at MIT Lincoln Laboratory, Roesler has stayed at the laboratory, this time venturing into high-frequency radio communications. He’s currently working on a research project that applies the theory of compressed sensing (which states that, under certain conditions, it is possible to reconstruct signals from very few measurements) to communications.
What fascinates Roesler are “something-from-nothing” problems.
“The kind of problems I’m interested in are underdetermined, inverse problems,” he says. For example, imagine trying to reconstruct a full image from only a handful of pixels. While on the surface this seems impossible, researchers have recovered quality images by applying the techniques of compressed sensing.
Running and serving
Roesler has also spent extensive time running, a sport he’s loved since fifth grade. In 2023, he raced a marathon in 2 hours and 46 minutes and went on to run the Boston Marathon in both 2024 and 2025. To prepare, he spent a lot of time reading up on the psychology of running, which he says was the first time he used the scientific method. Now, he just runs for fun and uses it as a way to focus and collect this thoughts.
He has also served on the executive team of the Undergraduate Mathematics Association, as a resident peer mentor at Baker House, and a tutor for two classes. At the PKG Center, he’s been a program lead and counselor for its pre-orientation program.
Roesler still gets excited about seeing the impact of his teaching. At the end of one semester teaching a tutorial, he took his class on a picnic. They surprised him with a card and a bag of goodies.
Recalling the moment, he says: “I thought, How does it get better? It was wonderful.”
Neural activity helps circuit connections mature into optimal signal transmittersScientists identified how circuit connections in fruit flies tune to the right size and degree of signal transmission capability. Understanding this could lead to a way to tweak abnormal signal transmission in certain disorders.Nervous system functions, from motion to perception to cognition, depend on the active zones of neural circuit connections, or “synapses,” sending out the right amount of their chemical signals at the right times. By tracking how synaptic active zones form and mature in fruit flies, researchers at The Picower Institute for Learning and Memory at MIT have revealed a fundamental model for how neural activity during development builds properly working connections.
Understanding how that happens is important, not only for advancing fundamental knowledge about how nervous systems develop, but also because many disorders such as epilepsy, autism, or intellectual disability can arise from aberrations of synaptic transmission, says senior author Troy Littleton, the Menicon Professor in The Picower Institute and MIT’s Department of Biology. The new findings, funded in part by a 2021 grant from the National Institutes of Health, provide insights into how active zones develop the ability to send neurotransmitters across synapses to their circuit targets. It’s not instant or predestined, the study shows. It can take days to fully mature, and that is regulated by neural activity.
If scientists can fully understand the process, Littleton says, then they can develop molecular strategies to intervene to tweak synaptic transmission when it’s happening too much or too little in disease.
“We’d like to have the levers to push to make synapses stronger or weaker, that’s for sure,” Littleton says. “And so knowing the full range of levers we can tug on to potentially change output would be exciting.”
Littleton Lab research scientist Yuliya Akbergenova led the study published Oct. 14 in the Journal of Neuroscience.
How newborn synapses grow up
In the study, the researchers examined neurons that send the neurotransmitter glutamate across synapses to control muscles in the fly larvae. To study how the active zones in the animals matured, the scientists needed to keep track of their age. That hasn’t been possible before, but Akbergenova overcame the barrier by cleverly engineering the fluorescent protein mMaple, which changes its glow from green to red when zapped with 15 seconds of ultraviolet light, into a component of the glutamate receptors on the receiving side of the synapse. Then, whenever she wanted, she could shine light and all the synapses already formed before that time would glow red, and any new ones that formed subsequently would glow green.
With the ability to track each active zone’s birthday, the authors could then document how active zones developed their ability to increase output over the course of days after birth. The researchers actually watched as synapses were built over many hours by tagging each of eight kinds of proteins that make up an active zone. At first, the active zones couldn’t transmit anything. Then, as some essential early proteins accumulated, they could send out glutamate spontaneously, but not if evoked by electrical stimulation of their host neuron (simulating how that neuron might be signaled naturally in a circuit). Only after several more proteins arrived did active zones possess the mature structure for calcium ions to trigger the fusion of glutamate vesicles to the cell membrane for evoked release across the synapse.
Activity matters
Of course, construction does not go on forever. At some point, the fly larva stops building one synapse and then builds new ones further down the line as the neuronal axon expands to keep up with growing muscles. The researchers wondered whether neural activity had a role in driving that process of finishing up one active zone and moving on to build the next.
To find out, they employed two different interventions to block active zones from being able to release glutamate, thereby preventing synaptic activity. Notably, one of the methods they chose was blocking the action of a protein called Synaptotagmin 1. That’s important because mutations that disrupt the protein in humans are associated with severe intellectual disability and autism. Moreover, the researchers tailored the activity-blocking interventions to just one neuron in each larva because blocking activity in all their neurons would have proved lethal.
In neurons where the researchers blocked activity, they observed two consequences: the neurons stopped building new active zones and instead kept making existing active zones larger and larger. It was as if the neuron could tell the active zone wasn’t releasing glutamate and tried to make it work by giving it more protein material to work with. That effort came at the expense of starting construction on new active zones.
“I think that what it’s trying to do is compensate for the loss of activity,” Littleton says.
Testing indicated that the enlarged active zones the neurons built in hopes of restarting activity were functional (or would have been if the researchers weren’t artificially blocking them). This suggested that the way the neuron sensed that glutamate wasn’t being released was therefore likely to be a feedback signal from the muscle side of the synapse. To test that, the scientists knocked out a glutamate receptor component in the muscle, and when they did, they found that the neurons no longer made their active zones larger.
Littleton says the lab is already looking into the new questions the discoveries raise. In particular: What are the molecular pathways that initiate synapse formation in the first place, and what are the signals that tell an active zone it has finished growing? Finding those answers will bring researchers closer to understanding how to intervene when synaptic active zones aren’t developing properly.
In addition to Littleton and Akbergenova, the paper’s other authors are Jessica Matthias and Sofya Makeyeva.
In addition to the National Institutes of Health, The Freedom Together Foundation provided funding for the study.
Creating AI that mattersHow the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.When it comes to artificial intelligence, MIT and IBM were there at the beginning: laying foundational work and creating some of the first programs — AI predecessors — and theorizing how machine “intelligence” might come to be.
Today, collaborations like the MIT-IBM Watson AI Lab, which launched eight years ago, are continuing to deliver expertise for the promise of tomorrow’s AI technology. This is critical for industries and the labor force that stand to benefit, particularly in the short term: from $3-4 trillion of forecast global economic benefits and 80 percent productivity gains for knowledge workers and creative tasks, to significant incorporations of generative AI into business processes (80 percent) and software applications (70 percent) in the next three years.
While industry has seen a boom in notable models, chiefly in the past year, academia continues to drive the innovation, contributing most of the highly cited research. At the MIT-IBM Watson AI Lab, success takes the form of 54 patent disclosures, an excess of 128,000 citations with an h-index of 162, and more than 50 industry-driven use cases. Some of the lab’s many achievements include improved stent placement with AI imaging techniques, slashing computational overhead, shrinking models while maintaining performance, and modeling of interatomic potential for silicate chemistry.
“The lab is uniquely positioned to identify the ‘right’ problems to solve, setting us apart from other entities,” says Aude Oliva, lab MIT director and director of strategic industry engagement in the MIT Schwarzman College of Computing. “Further, the experience our students gain from working on these challenges for enterprise AI translates to their competitiveness in the job market and the promotion of a competitive industry.”
“The MIT-IBM Watson AI Lab has had tremendous impact by bringing together a rich set of collaborations between IBM and MIT’s researchers and students,” says Provost Anantha Chandrakasan, who is the lab’s MIT co-chair and the Vannevar Bush Professor of Electrical Engineering and Computer Science. “By supporting cross-cutting research at the intersection of AI and many other disciplines, the lab is advancing foundational work and accelerating the development of transformative solutions for our nation and the world.”
Long-horizon work
As AI continues to garner interest, many organizations struggle to channel the technology into meaningful outcomes. A 2024 Gartner study finds that, “at least 30% of generative AI projects will be abandoned after proof of concept by the end of 2025,” demonstrating ambition and widespread hunger for AI, but a lack of knowledge for how to develop and apply it to create immediate value.
Here, the lab shines, bridging research and deployment. The majority of the lab’s current-year research portfolio is aligned to use and develop new features, capacities, or products for IBM, the lab’s corporate members, or real-world applications. The last of these comprise large language models, AI hardware, and foundation models, including multi-modal, bio-medical, and geo-spatial ones. Inquiry-driven students and interns are invaluable in this pursuit, offering enthusiasm and new perspectives while accumulating domain knowledge to help derive and engineer advancements in the field, as well as opening up new frontiers for exploration with AI as a tool.
Findings from the AAAI 2025 Presidential panel on the Future of AI Research support the need for contributions from academia-industry collaborations like the lab in the AI arena: “Academics have a role to play in providing independent advice and interpretations of these results [from industry] and their consequences. The private sector focuses more on the short term, and universities and society more on a longer-term perspective.”
Bringing these strengths together, along with the push for open sourcing and open science, can spark innovation that neither could achieve alone. History shows that embracing these principles, and sharing code and making research accessible, has long-term benefits for both the sector and society. In line with IBM and MIT’s missions, the lab contributes technologies, findings, governance, and standards to the public sphere through this collaboration, thereby enhancing transparency, accelerating reproducibility, and ensuring trustworthy advances.
The lab was created to merge MIT’s deep research expertise with IBM’s industrial R&D capacity, aiming for breakthroughs in core AI methods and hardware, as well as new applications in areas like health care, chemistry, finance, cybersecurity, and robust planning and decision-making for business.
Bigger isn't always better
Today, large foundation models are giving way to smaller, more task-specific models yielding better performance. Contributions from lab members like Song Han, associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), and IBM Research’s Chuang Gan help make this possible, through work such as once-for-all and AWQ. Innovations such as these improve efficiency with better architectures, algorithm shrinking, and activation-aware weight quantization, letting models like language processing run on edge devices at faster speeds and reduced latency.
Consequently, foundation, vision, multimodal, and large language models have seen benefits, allowing for the lab research groups of Oliva, MIT EECS Associate Professor Yoon Kim, and IBM Research members Rameswar Panda, Yang Zhang, and Rogerio Feris to build on the work. This includes techniques to imbue models with external knowledge and the development of linear attention transformer methods for higher throughput, compared to other state-of-the-art systems.
Understanding and reasoning in vision and multimodal systems has also seen a boon. Works like “Task2Sim” and “AdaFuse” demonstrate improved vision model performance if pre-training takes place on synthetic data, and how video action recognition can be boosted by fusing channels from past and current feature maps.
As part of a commitment to leaner AI, the lab teams of Gregory Wornell, the MIT EECS Sumitomo Electric Industries Professor in Engineering, IBM Research’s Chuang Gan, and David Cox, VP for foundational AI at IBM Research and the lab’s IBM director, have shown that model adaptability and data efficiency can go hand in hand. Two approaches, EvoScale and Chain-of-Action-Thought reasoning (COAT), enable language models to make the most of limited data and computation by improving on prior generation attempts through structured iteration, narrowing in on a better response. COAT uses a meta-action framework and reinforcement learning to tackle reasoning-intensive tasks via self-correction, while EvoScale brings a similar philosophy to code generation, evolving high-quality candidate solutions. These techniques help to enable resource-conscious, targeted, real-world deployment.
“The impact of MIT-IBM research on our large language model development efforts cannot be overstated,” says Cox. “We’re seeing that smaller, more specialized models and tools are having an outsized impact, especially when they are combined. Innovations from the MIT-IBM Watson AI Lab help shape these technical directions and influence the strategy we are taking in the market through platforms like watsonx.”
For example, numerous lab projects have contributed features, capabilities, and uses to IBM’s Granite Vision, which provides impressive computer vision designed for document understanding, despite its compact size. This comes at a time when there’s a growing need for extraction, interpretation, and trustworthy summarization of information and data contained in long formats for enterprise purposes.
Other achievements that extend beyond direct research on AI and across disciplines are not only beneficial, but necessary for advancing the technology and lifting up society, concludes the 2025 AAAI panel.
Work from the lab’s Caroline Uhler and Devavrat Shah — both Andrew (1956) and Erna Viterbi Professors in EECS and the Institute for Data, Systems, and Society (IDSS) — along with IBM Research’s Kristjan Greenewald, transcends specializations. They are developing causal discovery methods to uncover how interventions affect outcomes, and identify which ones achieve desired results. The studies include developing a framework that can both elucidate how “treatments” for different sub-populations may play out, like on an ecommerce platform or mobility restrictions on morbidity outcomes. Findings from this body of work could influence the fields of marketing and medicine to education and risk management.
“Advances in AI and other areas of computing are influencing how people formulate and tackle challenges in nearly every discipline. At the MIT-IBM Watson AI Lab, researchers recognize this cross-cutting nature of their work and its impact, interrogating problems from multiple viewpoints and bringing real-world problems from industry, in order to develop novel solutions,” says Dan Huttenlocher, MIT lab co-chair, dean of the MIT Schwarzman College of Computing, and the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science.
A significant piece of what makes this research ecosystem thrive is the steady influx of student talent and their contributions through MIT’s Undergraduate Research Opportunities Program (UROP), MIT EECS 6A Program, and the new MIT-IBM Watson AI Lab Internship Program. Altogether, more than 70 young researchers have not only accelerated their technical skill development, but, through guidance and support by the lab’s mentors, gained knowledge in AI domains to become emerging practitioners themselves. This is why the lab continually seeks to identify promising students at all stages in their exploration of AI’s potential.
“In order to unlock the full economic and societal potential of AI, we need to foster ‘useful and efficient intelligence,’” says Sriram Raghavan, IBM Research VP for AI and IBM chair of the lab. “To translate AI promise into progress, it’s crucial that we continue to focus on innovations to develop efficient, optimized, and fit-for-purpose models that can easily be adapted to specific domains and use cases. Academic-industry collaborations, such as the MIT-IBM Watson AI Lab, help drive the breakthroughs that make this possible.”
Over 1,000 MIT students inspired to work toward climate solutionsIncoming students tested the climate simulation tool En-ROADS with the goal of creating “a healthier, safer, more prosperous, and more sustainable world.”Recently, more than 1,000 MIT students stepped into the shoes of global decision-makers by trying out En-ROADS, a simulation tool developed to test climate policies, explore solutions, and envision a cleaner and safer environmental future.
MIT is committed to climate action, and this year’s new student orientation showcased that commitment. For the first time ever, incoming Leaders for Global Operations (LGO), Executive MBA, Sloan Fellow MBA, MBA, and undergraduate students all explored the capabilities of En-ROADS.
“The goal is for MIT to become one of the world’s most prolific, collaborative, and interdisciplinary sources of technological, behavioral, and policy solutions for the global climate challenge over the next decade,” MIT Provost Anantha P. Chandrakasan told an audience of about 300 undergraduates from the Class of 2029. “It is something we need to do urgently, and today is your opportunity to play a role in that bold mission.”
Connecting passion with science for change
In group workshop sessions, students collaborated to create a world in which global warming stays well below 2 degrees Celsius above preindustrial levels — the goal of the 2015 Paris Agreement. Backed by the latest science, the En-ROADS simulator let them explore firsthand how policies like carbon pricing and clean energy investments affect our climate, economy, and health. Over 450 incoming MBA students even role-played as delegates at a global climate summit conference, tasked with negotiating a global agreement to address the harm caused by climate change.
For first-year MBA student Allison Somuk, who played the role of President Xi Jinping of China, the workshop was not only eye-opening about climate, but also altered how she plans to approach her future work and advocacy.
“Before the simulation, I didn’t have data on climate change, so I was surprised to see how close we are to catastrophic temperature increases. What surprised me most was how difficult it was to slow that trajectory. It required significant action and compromise from nearly every sector, not just a few. As someone passionate about improving maternal health care in developing nations, my view of contributing factors has broadened. I now see how maternal health may be affected by a larger system where climate policy decisions directly affect women’s health outcomes.”
MIT Sloan Research Affiliate Andrew Jones, who is also executive director and co-founder of Climate Interactive and co-creator of the En-ROADS tool, presented several sessions during orientation. Looking back on the week, he found the experience personally rewarding.
“Engaging with hundreds of students, I was inspired by the powerful alignment between their passion for climate action and MIT’s increased commitment to delivering on climate goals. This is a pivotal moment for breakthroughs on our campus.”
Other presenters included Jennifer Graham, MIT Sustainability Initiative senior associate director; Jason Jay, MIT Sustainability Initiative director; Krystal Noiseux, MIT Climate Pathways Project associate director; Bethany Patten, MIT Climate Policy Center executive director; and John Sterman, Jay W. Forrester Professor of Management, professor in the MIT Institute for Data, Systems, and Society, and director of the MIT System Dynamics Group.
Chris Rabe, the MIT Climate Project’s Education Program director, was impressed, but not surprised, by how much students learned so quickly as they worked together to solve the problem with En-ROADS.
“By integrating reflection, emotional dynamics, multi-generational perspectives, group work, and inquiry, the En-ROADS simulation provides an ideal foundation for first-year students to explore the breadth of climate and sustainability opportunities at MIT. In the process, students came to recognize the many levers and multi-solving approaches required to address the complex challenges of climate change.”
Inspiring climate leaders
The En-ROADS workshops were a true team effort, made possible with the help of senior staff at MIT Sloan School of Management and the MBA program office, and members of the MIT Sloan Sustainability Initiative, Climate Pathways Project, Climate Policy Center, the Climate Project, Office of the First Year, and entire undergraduate Orientation team.
“Altogether, over a thousand of the newest members of the MIT community have now had a chance to learn for themselves about the climate crisis,” says Sterman, “and what we can do to create a healthier, safer, more prosperous, and more sustainable world — and how they can get involved to bring that world into being, even as first-year undergrads and MBAs.”
By the end of the workshops, the students’ spirits were buoyed. They all had successfully found ways to keep global warming to below 2 C. When asked, “What would you love about being part of this new future you’ve created?,” a more positive, optimistic word cloud came into view. Answers included:
First-year MBA student Ruby Eisenbud sums up the sentiment many new MIT students came away with after their workshop.
“Coming to Sloan, one of the questions on my mind was: How can we, as future leaders, make a positive impact related to climate change? While En-ROADS is a simulation, it felt like we experienced, in the smallest way, what it could be like to be a leader navigating the diverging interests of all stakeholders involved in mitigating the impacts of the climate crisis. While the simulation prompted us to face the difficult reality of climate change, it also reinforced my motivation to emphasize climate in my work at Sloan and beyond.”
A new advising neighborhood takes shape along the Infinite CorridorThe Undergraduate Advising Center’s new home in Building 11 creates a bright, welcoming, and functional destination for MIT undergraduate students.On any given day, MIT’s famed 825-foot Infinite Corridor serves as a busy, buzzing pedestrian highway, offering campus commuters a quick, if congested, route from point A to B. With the possible exception of MIT Henge twice a year, it doesn’t exactly invite lingering.
Thanks to a recent renovation on the first floor of Building 11, the former location of Student Financial Services, there’s now a compelling reason for students to step off the busy throughfare and pause for conversation or respite.
Dubbed by one onlooker as “the spaceport,” the area has been transformed into an airy, multi-functional hub. Nestled inside is the Undergraduate Advising Center (UAC), which launched in 2023 to provide holistic support for students’ personal and academic growth by providing individualized advising for all four years, offering guidance about and connections to MIT resources, and partnering with faculty and departments to ensure a comprehensive advising experience.
Students can now find another key service conveniently located close by: Career Advising and Professional Development has moved into renovated office suites just down the hall, in Building 7.
“It’s just stunning!” marvels Diep Luu, senior associate dean and director of the UAC. “You can’t help but notice the contrast between the historic architecture and the contemporary design. The space is filled with natural light thanks to the floor-to-ceiling windows, and it makes the environment both energizing and comfortable.”
Designed by Merge Architects, the 5,000 square-foot space opens off the Infinite with several informal public spaces for students and community members. These include a series of soaring, vaulted booths with a variety of tables and seating to support multiple kinds of socialization and/or work, a cozy lounge lined with pi wallpaper (carried out to 10,638 digits after 3.14), and the “social stairs” for informal gatherings and workshops. Beyond that, glass doors lead to the UAC office space, which features open workstations, private advising rooms, and conference rooms with Zoom capability.
“We wanted to incorporate as many different kinds of spaces to accommodate as many different kinds of interactions as we could,” explains Kate Trimble, senior associate dean and chief of staff of the Division of Graduate and Undergraduate Education (GUE), who helped guide the renovation project. “After all, the UAC will support all undergraduate students for their entire four-year MIT journey, through a wide variety of experiences, challenges, and celebrations.”
Homing in on the “Boardwalk or Park Place of MIT real estate”
The vision for the new district began to percolate in 2022. At the time, GUE (then known as the Office of the Vice Chancellor, or OVC) was focusing on two separate, key priorities: reconfiguring office space in a post-pandemic, flex-work world; and creating a new undergraduate advising center, in accordance with one of the Task Force 2021 recommendations.
A faculty and staff working group gathered information and ideas from offices and programs that had already implemented “flex-space” strategies, such as Human Resources, IS&T, and the MIT Innovation Headquarters. In thinking about an advising center of the size and scope envisioned, Trimble notes, “we quickly zeroed in on the Building 11 space. It’s such a prominent location. Former Vice Chancellor (and current Vice President for Research) Ian A. Waitz referred to it as the “Boardwalk or Park Place of MIT real estate. And if you’re thinking about a center that’s going to serve all undergraduates, you really want it to be convenient and centrally located — and boy, that’s a perfect space.”
As plans were made to relocate Student Financial Services to a new home in Building E17, the renovation team engaged undergraduate students and advising staff in the design process through a series of charrette-style workshops and focus groups. Students shared feedback about spaces on campus where they felt most comfortable, as well as those they disliked. From staff, the team learned which design elements would make the space as functional as possible, allowing for the variety of interactions they typically have with students.
The team selected Merge Architects for the project, Trimble says, because “they understood that we were not looking to build something that was an architectural temple, but rather a functional and fun space that meets the needs of our students and staff. They’ve been creative and responsive partners.” She also credits the MIT Campus Construction group and the Office of Campus Planning for their crucial role in the renovation. “I can’t say enough good things about them. They’ve been superb guides through a long and complicated process.”
A more student-centric Infinite Corridor
Construction wrapped up in late summer, and the UAC held an open house for students on Registration Day, Sept. 3. It buzzed with activity as students admired the space, chatted with UAC staff, took photos, and met the office mascot, Winni, a friendly chocolate Labrador retriever.
“Students have been amazed by the transformation,” says Luu. “We wanted a space that encourages community and collaboration, one that feels alive and dynamic, and the early feedback suggests that’s exactly what’s happening,” Luu explains. “It also gives us a chance to better connect students not only with what the UAC offers, but also with support across the Institute.
“Last year, the UAC offices were behind these two wooden doors in the Infinite Corridor and you had to know that they were there to get to them,” says junior Caleb Mathewos, who has been a UAC orientation leader and captain over the past two years. “The space is very inviting now. I’ve seen people sitting there and working, or just relaxing between classes. I see my friends every now and then, and I’ll stop by and chat with them. Because it’s so much more open, it makes the UAC feel a lot more accessible to students.”
Senior Calvin Macatantan, who’s been involved with the UAC’s First Generation/Low Income Program since his first year and served as an associate advisor and orientation leader, thinks the new space will make it easier for students — especially first years — to find what they need to navigate at MIT. “Before, resources felt scattered across different parts of the Infinite, even though they had similar missions of advising and supporting students. It's nice that there’s a central, welcoming space where those supports connect, and I think that will make a big difference in how students experience MIT.”
The transformation adds significantly to a trend toward creating more student-centric spaces along the Infinite. In the past few years, MIT has added two new study lounges in Building 3, the DEN and the LODGE, and the Department of Materials Science and Engineering built the DMSE Breakerspace in Building 4. This fall, another office suite along the Infinite will be remodeled into a new tutoring hub.
"It’s wonderful to see the UAC space and the whole advising ‘neighborhood,’ if you will, come to fruition,” says Vice Chancellor for Graduate and Undergraduate Education David L. Darmofal. “The need to strengthen undergraduate advising and the opportunity to do so through an Institute advising hub was an outcome of the Task Force 2021 effort, and it’s taken years of thoughtful reflection by many stakeholders to lay the foundation for such a significant sea change in advising. This space is a tangible, visible commitment to putting students first.”
MIT Maritime Consortium releases “Nuclear Ship Safety Handbook”First-of-its-kind handbook serves as a guide for design safety for civilian nuclear ships.Commercial shipping accounts for 3 percent of all greenhouse gas emissions globally. As the sector sets climate goals and chases a carbon-free future, nuclear power — long used as a source for military vessels — presents an enticing solution. To date, however, there has been no clear, unified public document available to guide design safety for certain components of civilian nuclear ships. A new “Nuclear Ship Safety Handbook” by the MIT Maritime Consortium aims to change that and set the standard for safe maritime nuclear propulsion.
“This handbook is a critical tool in efforts to support the adoption of nuclear in the maritime industry,” explains Themis Sapsis, the William I. Koch Professor of Mechanical Engineering at MIT, director of the MIT Center for Ocean Engineering, and co-director of the MIT Maritime Consortium. “The goal is to provide a strong basis for initial safety on key areas that require nuclear and maritime regulatory research and development in the coming years to prepare for nuclear propulsion in the maritime industry.”
Using research data and standards, combined with operational experiences during civilian maritime nuclear operations, the handbook provides unique insights into potential issues and resolutions in the design efficacy of maritime nuclear operations, a topic of growing importance on the national and international stage.
“Right now, the nuclear-maritime policies that exist are outdated and often tied only to specific technologies, like pressurized water reactors,” says Jose Izurieta, a graduate student in the Department of Mechanical Engineering (MechE) Naval Construction and Engineering (2N) Program, and one of the handbook authors. “With the recent U.K.-U.S. Technology Prosperity Deal now including civil maritime nuclear applications, I hope the handbook can serve as a foundation for creating a clear, modern regulatory framework for nuclear-powered commercial ships.”
The recent memorandum of understanding signed by the U.S. and U.K calls for the exploration of “novel applications of advanced nuclear energy, including civil maritime applications,” and for the parties to play “a leading role informing the establishment of international standards, potential establishment of a maritime shipping corridor between the Participants’ territories, and strengthening energy resilience for the Participants’ defense facilities.”
“The U.S.-U.K. nuclear shipping corridor offers a great opportunity to collaborate with legislators on establishing the critical framework that will enable the United States to invest on nuclear-powered merchant vessels — an achievement that will reestablish America in the shipbuilding space,” says Fotini Christia, the Ford International Professor of the Social Sciences, director of the Institute for Data, Systems, and Society (IDSS), and co-director of the MIT Maritime Consortium.
“With over 30 nations now building or planning their first reactors, nuclear energy’s global acceptance is unprecedented — and that momentum is key to aligning safety rules across borders for nuclear-powered ships and the respective ports,” says Koroush Shirvan, the Atlantic Richfield Career Development Professor in Energy Studies at MIT and director of the Reactor Technology Course for Utility Executives.
The handbook, which is divided into chapters in areas involving the overlapping nuclear and maritime safety design decisions that will be encountered by engineers, is careful to balance technical and practical guidance with policy considerations.
Commander Christopher MacLean, MIT associate professor of the practice in mechanical engineering, naval construction, and engineering, says the handbook will significantly benefit the entire maritime community, specifically naval architects and marine engineers, by providing standardized guidelines for design and operation specific to nuclear powered commercial vessels.
“This will assist in enhancing safety protocols, improve risk assessments, and ensure consistent compliance with international regulations,” MacLean says. “This will also help foster collaboration amongst engineers and regulators. Overall, this will further strengthen the reliability, sustainability, and public trust in nuclear-powered maritime systems.”
Anthony Valiaveedu, the handbook’s lead author, and co-author Nat Edmonds, are both students in the MIT Master’s Program in Technology and Policy (TPP) within the IDSS. The pair are also co-authors of a paper published in Science Policy Review earlier this year that offered structured advice on the development of nuclear regulatory policies.
“It is important for safety and technology to go hand-in-hand,” Valiaveedu explains. “What we have done is provide a risk-informed process to begin these discussions for engineers and policymakers.”
“Ultimately, I hope this framework can be used to build strong bilateral agreements between nations that will allow nuclear propulsion to thrive,” says fellow co-author Izurieta.
Impact on industry
“Maritime designers needed a source of information to improve their ability to understand and design the reactor primary components, and development of the 'Nuclear Ship Safety Handbook' was a good step to bridge this knowledge gap,” says Christopher J. Wiernicki, American Bureau of Shipping (ABS) chair and CEO. “For this reason, it is an important document for the industry.”
The ABS, which is the American classification society for the maritime industry, develops criteria and provides safety certification for all ocean-going vessels. ABS is among the founding members of the MIT Maritime Consortium. Capital Clean Energy Carriers Corp., HD Korea Shipbuilding and Offshore Engineering, and Delos Navigation Ltd. are also consortium founding members. Innovation members are Foresight-Group, Navios Maritime Partners L.P., Singapore Maritime Institute, and Dorian LPG.
“As we consider a net-zero framework for the shipping industry, nuclear propulsion represents a potential solution. Careful investigation remains the priority, with safety and regulatory standards at the forefront,” says Jerry Kalogiratos, CEO of Capital Clean Energy Carriers Corp. “As first movers, we are exploring all options. This handbook lays the technical foundation for the development of nuclear-powered commercial vessels.”
Sangmin Park, senior vice president at HD Korea Shipbuilding and Offshore Engineering, says “The 'Nuclear Ship Safety Handbook' marks a groundbreaking milestone that bridges shipbuilding excellence and nuclear safety. It drives global collaboration between industry and academia, and paves the way for the safe advancement of the nuclear maritime era.”
Maritime at MIT
MIT has been a leading center of ship research and design for over a century, with work at the Institute today representing significant advancements in fluid mechanics and hydrodynamics, acoustics, offshore mechanics, marine robotics and sensors, and ocean sensing and forecasting. Maritime Consortium projects, including the handbook, reflect national priorities aimed at revitalizing the U.S. shipbuilding and commercial maritime industries.
The MIT Maritime Consortium, which launched in 2024, brings together MIT and maritime industry leaders to explore data-powered strategies to reduce harmful emissions, optimize vessel operations, and support economic priorities.
“One of our most important efforts is the development of technologies, policies, and regulations to make nuclear propulsion for commercial ships a reality,” says Sapsis. “Over the last year, we have put together an interdisciplinary team with faculty and students from across the Institute. One of the outcomes of this effort is this very detailed document providing detailed guidance on how such effort should be implemented safely.”
Handbook contributors come from multiple disciplines and MIT departments, labs, and research centers, including the Center for Ocean Engineering, IDSS, MechE’s Course 2N Program, the MIT Technology and Policy Program, and the Department of Nuclear Science and Engineering.
MIT faculty members and research advisors on the project include Sapsis; Christia; Shirvan; MacLean; Jacopo Buongiorno, the Battelle Energy Alliance Professor in Nuclear Science and Engineering, director, Center for Advanced Nuclear Energy Systems, and director of science and technology for the Nuclear Reactor Laboratory; and Captain Andrew Gillespy, professor of the practice and director of the Naval Construction and Engineering (2N) Program.
“Proving the viability of nuclear propulsion for civilian ships will entail getting the technologies, the economics and the regulations right,” says Buongiorno. “This handbook is a meaningful initial contribution to the development of a sound regulatory framework.”
“We were lucky to have a team of students and knowledgeable professors from so many fields,” says Edmonds. “Before even beginning the outline of the handbook, we did significant archival and history research to understand the existing regulations and overarching story of nuclear ships. Some of the most relevant documents we found were written before 1975, and many of them were stored in the bellows of the NS Savannah.”
The NS Savannah, which was built in the late 1950s as a demonstration project for the potential peacetime uses of nuclear energy, was the first nuclear-powered merchant ship. The Savannah was first launched on July 21, 1959, two years after the first nuclear-powered civilian vessel, the Soviet ice-breaker Lenin, and was retired in 1971.
Historical context for this project is important, because the reactor technologies envisioned for maritime propulsion today are quite different from the traditional pressurized water reactors used by the U.S. Navy. These new reactors are being developed not just in the maritime context, but also to power ports and data centers on land; they all use low-enriched uranium and are passively cooled. For the maritime industry, Sapsis says, “the technology is there, it’s safe, and it’s ready.”
“The Nuclear Ship Safety Handbook” is publicly available on the MIT Maritime Consortium website and from the MIT Libraries.
Solar energy startup Active Surfaces wins inaugural PITCH.nano competitionTwelve START.nano companies competed for the grand prize of nanoBucks to be used at MIT.nano’s facilities.The inaugural PITCH.nano competition, hosted by MIT.nano’s hard technology accelerator START.nano, provided a platform for early-stage startups to present their innovations to MIT and Boston’s hard-tech startup ecosystem.
The grand prize winner was Active Surfaces, a startup that is generating renewable energy exactly where it is going to be used through lightweight, flexible solar cells. Active Surfaces says its ultralight, peel-and-stick panels will reimagine how we deploy photovoltaics in the built environment.
Shiv Bhakta MBA ’24, SM ’24, CEO and co-founder, delivered the winning presentation to an audience of entrepreneurs, investors, startup incubators, and industry partners at PITCH.nano on Sept. 30. Active Surfaces received the grand prize of 25,000 nanoBucks — equivalent to $25,000 that can be spent at MIT.nano facilities.
Why has MIT.nano chosen to embrace startup activity as much as we do? asked Vladimir Bulović, MIT.nano faculty director, at the start of PITCH.nano. “We need to make sure that entrepreneurs can be born out of MIT and can take the next technical ideas developed in the lab out into the market, so they can make the next millions of jobs that the world needs.”
The journey of a hard-tech entrepreneur takes at least 10 years and 100 million dollars, explained Bulović. By linking open tool facilities to startup needs, MIT.nano can make those first few years a little bit easier, bringing more startups to the scale-up stage.
“Getting VCs [venture capitalists] to invest in hard tech is challenging,” explained Joyce Wu SM ’00, PhD ’07, START.nano program manager. “Through START.nano, we provide discounted access to MIT.nano’s cleanrooms, characterization tools, and laboratories for startups to build their prototypes and attract investment earlier and with reduced spend. Our goal is to support the translation of fundamental research to real-world solutions in hard tech.”
In addition to discounted access to tools, START.nano helps early-stage companies become part of the MIT and Cambridge innovation network. PITCH.nano, inspired by the MIT 100K Competition, was launched as a new opportunity this year to introduce these hard-tech ventures to the investor and industry community. Twelve startups delivered presentations that were evaluated by a panel of four judges who are, themselves, venture capitalists and startup founders.
“It is amazing to see the quality, diversity, and ingenuity of this inspiring group of startups,” said judge Brendan Smith PhD ’18, CEO of SiTration, a company that was part of the inaugural START.nano cohort. “Together, these founders are demonstrating the power of fundamental hard-tech innovation to solve the world’s greatest challenges, in a way that is both scalable and profitable.”
Startups who presented at PITCH.nano spanned a wide range of focus areas. In the fields of climate, energy, and materials, the audience heard from Addis Energy, Copernic Catalysts, Daqus Energy, VioNano Innovations, Active Surfaces, and Metal Fuels; in life sciences, Acorn Genetics, Advanced Silicon Group, and BioSens8; and in quantum and photonics, Qunett, nOhm Devices, and Brightlight Photonics. The common thread for these companies: They are all using MIT.nano to advance their innovations.
“MIT.nano has been instrumental in compressing our time to market, especially as a company building a novel, physical product,” said Bhakta. “Access to world-class characterization tools — normally out of reach for startups — lets us validate scale-up much faster. The START.nano community accelerates problem-solving, and the nanoBucks award is directly supporting the development of our next prototypes headed to pilot.”
In addition to the grand prize, a 5,000 nanoBucks audience choice award went to Advanced Silicon Group, a startup that is developing a next-generation biosensor to improve testing in pharma and health tech.
Now in its fifth year, START.nano has supported 40 companies spanning a diverse set of market areas — life sciences, clean tech, semiconductors, photonics, quantum, materials, and software. Fourteen START.nano companies have graduated from the program, proving that START.nano is indeed succeeding in its mission to help early-stage ventures advance from prototype to manufacturing. “I believe MIT.nano has a fantastic opportunity here,” said judge Davide Marini, PhD ’03, co-founder and CEO of Inkbit, “to create the leading incubator for hard tech entrepreneurs worldwide.”
START.nano accepts applications on a monthly basis. The program is made possible through the generous support of FEMSA.
MIT Global Seed Funds catalyze research in over 20 countriesLaunched in 2008, the program has expanded exponentially and spent $30 million on high-impact research.Since launching in 2008, the MIT Global Seed Funds (GSF) program has awarded roughly $30 million to more than 1,300 high-impact faculty research projects across the world, spurring consequential collaborations on topics that include swine-fever vaccines, deforestation of the Amazon, the impact of “coral mucus” on the Japanese island of Okinawa, and the creation of an AI-driven STEM-education lab within Nigeria’s oldest university.
Administered by the MIT Center for International Studies (CIS) and open to MIT faculty and principal investigators, GSF boasts a unique funding structure consisting of both a general fund for unrestricted geographical use and more than 20 different specific funds for individual universities, regions, and countries.
GSF projects often tackle critical challenges that require international solutions, culminating in patents, policy changes, and published papers in journals such as Nature and Science. Some faculty-led projects from this year include Professor Hugh Herr’s modular crutches for people with disabilities in Sierra Leone, Research Scientist Paolo Santi’s large-language models to predict energy consumption in grocery stores, and Professor Ernest Fraenkel’s development of mRNA therapies for the neurodegenerative disease amyotrophic lateral sclerosis (ALS).
GSF Assistant Director Justin Leahey, who is managing director of the MIT-Germany and MIT-Switzerland programs, says that GSF has expanded exponentially over the years, including most recently into the Czech Republic, Norway, Slovakia, and — starting in fall 2025 — Hungary. This year there were a grand total of roughly 300 research proposals submitted for consideration, with many of the accepted proposals including the active participation of students at both the graduate and undergraduate level.
Central to GSF’s work is “reciprocal exchange” — the concept of collaborators in and out of MIT sharing their work and exchanging ideas in an egalitarian way, rather than bringing a one-sided approach to different research challenges. Frequent collaborator Raffaella Gozzelino, a neurology researcher and principal investigator at NOVA Medical School in Portugal who works closely with Jacquin Niles, an MIT professor of biological engineering, says that research is more impactful “when specialized knowledge integrates local realities and reveals potential solutions to national challenges,” and views the spirit of reciprocal exchange as something that revolves around “sharing knowledge and co-creating solutions that empower one another and build bridges across borders.”
For Cindy Xie ’24, MCP ’25, her master’s thesis emerged from the first-ever GSF-supported research internship in Cape Verde, where she worked with Niles and Gozzelino to explore the impact of climate change on anemia in the country of 500,000 people, focusing specifically on its largest island of Santiago. Xie says that she was struck by the intertwined intersectional nature of the issues of nutrition, climate, and infection in Santiago, home to the nation’s capital city of Praia. For example, Xie and Gozzelino’s team found that respondents perceived a rise in costs of fresh produce over time, exacerbated by drought and unpredictable agricultural conditions, which in turn impacted existing nutritional deficiencies and increased residents’ susceptibility to mosquito-borne diseases.
“Though this multidisciplinary research lens is challenging in terms of actual project implementation, it was meaningful in that it generated insights and connections across fields that allow our research to be better contextualized within the experiences of the communities that it impacts,” Xie says.
Gozzelino says that it has been meaningful to witness how scientific research can transcend academic boundaries and generate real impact. She says that, by examining the effects of climate change on infectious diseases and nutrition in Cape Verde, the team will be able to build a framework that can directly inform public policy.
“Contributing to a project that underscores the importance of integrating scientific knowledge into decision-making will safeguard vulnerable populations and make them feel included in the society they belong,” Gozzelino says. “This collaboration has revealed the enormous potential of international partnerships to strengthen local research capacity and address global challenges.”
During her time in Cape Verde working with Xie and Gozzelino, Amulya Aluru ’23, MEng ’24 got to meet with 20 local officials and connect with new people in a wide range of roles across the country, helping her “recognize the power of interpersonal relationships and collaboration” in public health research. She says that the structure of the GSF grant gave her the unique experience of having mentors and coworkers in three different countries, spanning Cape Verde, the United States, and Portugal.
Aluru says that this kind of cross-pollination “enabled me to strengthen my research with different perspectives and challenged me to approach my work in a way that I’d never done before, with a more global mindset.”
Xie similarly expresses her deep appreciation for the long-term relationships she has built through the project and the linkages between Santiago and Boston, which itself is home to one of the world’s largest Cape Verdean diasporas. “As a student, this was a valuable experience to inform the approaches to collaboration that I would like to implement in my own future work,” Xie says.
More broadly, Gozzelino sees GSF grants like the Cape Verde one as being not simply a vehicle for financial support, but “a catalyst for turning partnerships into long-term impactful collaborations, demonstrating how global networks can aid the development of human capital.”
GSF’s long history of reaching across departments and borders has led to multiple meaningful academic collaborations that have since come to span continents — and decades. In 2015, Professor Jörn Dunkel — an applied mathematician at MIT — kicked off work on a data-sharing repository for bacterial biofilms with the interdisciplinary German microbiologist Knut Drescher, then a professor of biophysics at Philipps-Universität Marburg in Germany. Dunkel and Drescher have since co-authored more than 15 papers together in publications like Nature Physics and Science Advances alongside their teams of graduate students and postdocs, even with Drescher having moved locations and crossed country lines to Switzerland as a faculty member at the University of Basel’s Biozentrum Center for Molecular Life Sciences.
“Our collaboration often creates great synergy by combining my team’s experiments with the theory from Jörn’s team,” says Drescher. “It is a great joy to see his perspective on the experimental systems we are working on. He is able to really understand and engage with experimental biological data, identifying patterns in seemingly distant biological systems.”
In explaining the CIS initiative’s success, Leahey points to the synergistic, academically eclectic, cross-disciplinary nature of the program. “[GSF] is a research fund that doesn’t ‘fund research’ in the conventional sense,” he says. “It seeds early-stage collaboration and lets people explore.”
The MIT Global Seed Funds applications are now open, with a deadline of Dec. 16.
Alan Whitney, MIT Haystack Observatory radio astronomer who pioneered very long baseline interferometry, dies at 81Longtime research scientist who served as associate director and interim director helped guide Haystack to decades of influential leadership in the development and refinement of the VLBI technique.Alan Robert Whitney ’66, SM ’67, PhD ’74, a longtime research scientist at the MIT Haystack Observatory who also served its associate director and interim director, died on Sept. 28 at age 81.
Whitney was a key contributor to the accomplishments and reputation of Haystack Observatory, having led the development of innovative technologies to advance the powerful radio science technique of very long baseline interferometry (VLBI). He ascended to the rank of MIT principal research scientist, served for many years as associate director of the observatory, and in 2007–08 took the reins as interim director. In 2011, he was awarded an MIT Excellence award.
From an early age, Whitney displayed extraordinary talent. Raised in Wyoming, as a high schooler he won the state science fair in 1962 by building a satellite telemetry receiver, which he designed and built from transistors and other discrete components in a barn on his family’s dairy farm. He enrolled at MIT and completed a five-year master’s degree via a cooperative internship program with Bell Laboratories, subsequently earning his PhD in electrical engineering.
Haystack Director Phil Erickson says, “Alan’s personality and enthusiasm were infectious, and his work represented the best ideals of the Haystack and MIT research enterprise — innovative, curious, and exploring the frontiers of basic and applied science and technology.”
In the late 1960s, as part of his PhD work, he was heavily involved in the pioneering development of VLBI, an extraordinary technique that yielded direct measurements of continental drift and information on distant radio sources at unprecedented angular resolution. A landmark paper led by Whitney demonstrated the presence of apparent superluminal (faster than light) motion of radio sources, which was explained as highly relativistic motion aligned toward the Earth. He spent the rest of his long and productive career at Haystack, pushing forward VLBI technology to ever-greater heights and ever-more impactful scientific capabilities.
“Alan was a technology pillar, a stalwart builder and worldwide ambassador of Haystack, and a leading figure of the VLBI geodetic community who inspired generations of scientists and engineers,” says Pedro Elosegui, leader of the Haystack geodesy group. “He contributed fundamentally to the vision and design of the VLBI Geodetic Observing System, outlining a path to a next-generation VLBI system with unprecedented new capabilities to address emerging space geodesy science needs such as global sea-level rise.”
The early days of VLBI demanded heroic and grueling efforts, traveling the world with exotic devices in hand-carried luggage, mounting and dismounting thousands of magnetic tapes every couple of minutes for hours on end, troubleshooting complex and sensitive instrumentation, and writing highly specialized software for the mainframe computers of the day. Whitney was fully engaged on all these fronts. By the early 1980s, the Mark III recording and correlation systems, whose development was led by Whitney, were established as the state of the art in VLBI technology, and a standard around which the global VLBI community coalesced.
Whitney later led the transition to VLBI disk-based recording. Specialized and robust Mark V systems optimized for shipping logistics and handling were transferred to industry for commercialization, leading once again to widespread global adoption of Haystack-developed VLBI technology. Consistently across all these developments, Whitney identified and exploited the most relevant and practical emerging technologies for the Haystack VLBI mission in hardware, software, and computing infrastructure.
In the latter part of his career, Whitney continued to innovate, pushing the technical boundaries of VLBI. A key advance was the Mark 6 (Mk6) recording system, capable of yet faster recording, higher sensitivity, and more robustness. The Mk6 recorders’ essential capability allowed the creation of the Event Horizon Telescope, which famously yielded the first image of the shadow of a black hole. Mk6 recorders are now used to routinely record data roughly 100,000 times faster than the computer tapes used at the start of his career.
As a senior technical and scientific leader, Whitney provided broad leadership and consultation to Haystack, and worked on a number of projects outside of the VLBI world. He served as interim Haystack director from January 2007 until a permanent director was appointed in September 2008. He also engaged with the development project for the international Murchison Widefield Array (MWA) in Australia, focused on frontier research studying early universe development. Whitney assumed the role of MWA project director from 2008 until groups in Australia took over the construction phase of the project a few years later. Until his full retirement in 2012, Whitney continued to provide invaluable technical insights and support at Haystack, and was a trusted and wise counsel to the Haystack Director’s Office. In 2020, Whitney was a co-recipient of the 2020 Breakthrough Prize in Fundamental Physics awarded to the Event Horizon Telescope Collaboration.
Alan Whitney was a top-notch technologist with a broad perspective that allowed him to guide Haystack to decades of influential leadership in the development and refinement of the VLBI technique. His dedication at MIT to the observatory, its people, and its mission were a source of inspiration to many at Haystack and well beyond. He was widely admired for the clarity of his thought, the sharpness of his intellect, and his genial and friendly nature. His numerous local, national, and global colleagues will feel his absence.
School of Engineering welcomes new faculty in 2024-25The newest MIT engineering faculty are conducting research across a diverse range of subject areas.The MIT School of Engineering welcomes new faculty members across six of its academic units. This new cohort of faculty members, who have recently started their roles at MIT, conduct research across a diverse range of disciplines.
“We are thrilled to welcome these accomplished scholars to the School of Engineering,” says Maria C. Yang, interim dean of engineering and William E. Leonhard (1940) Professor in the Department of Mechanical Engineering. “Each brings unique expertise across a wide range of fields and is advancing knowledge with real-world impact. They all share a deep commitment to research excellence and a passion for teaching and mentorship.”
Faculty with appointments in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Data, Systems, and Society (IDSS) report into both the School of Engineering and the MIT Stephen A. Schwarzman College of Computing.
The new engineering faculty include:
Masha Folk joined the Department of Aeronautics and Astronautics as an assistant professor in July 2024 and is the Charles Stark Draper Career Development Professor. Her research focuses on sustainable aerospace technology driven by a deep desire to accelerate carbon-neutral aviation. She previously worked as an aerodynamics specialist for Rolls-Royce. Folk received her BS in aerospace engineering from Ohio State University, her MS in aerospace engineering from Purdue University, and her PhD in energy, fluids, and turbomachinery from the University of Cambridge.
Sophia Henneberg, the Norman C. Rasmussen Career Development Professor, joined the Department of Nuclear Science and Engineering (NSE) as an assistant professor in September. Her research focuses on developing, utilizing, and extending optimization tools to identify new, promising stellarator designs, which are a promising path toward fusion energy. Previously, she was the principal investigator of EUROfusion’s Stellarator Optimization Theory, Simulation, Validation, and Verification group. Henneberg received a BS in physics at the Goethe-Universität, an MA in physics at the University of Wisconsin at Madison, and a PhD in physics at the University of York.
Omar Khattab, the TIBCO Founders Career Development Professor, joined the Department of Electrical Engineering and Computer Science as an assistant professor in July. He is also affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research develops new algorithms and abstractions for declarative AI programming and for composing retrieval and reasoning. Khattab previously worked as a research scientist at Databricks. He received a BS in computer science from Carnegie Mellon University and a PhD in computer science from Stanford University.
Tania Lopez-Silva joined the Department of Materials Science and Engineering as an assistant professor and the Institute for Medical Engineering and Science (IMES) as a core faculty member in July. Her research focuses on supramolecular hydrogels — soft materials made from self-assembling molecules, primarily peptides. Previously, she served as a postdoc at the National Cancer Institute. Lopez-Silva earned her BS in chemistry from Tecnológico de Monterrey and her MA and PhD in chemistry from Rice University.
Ethan Peterson ’13 joined the Department of Nuclear Science and Engineering as an assistant professor in July 2024. As the Class of 1956 Career Development Professor, his research focuses on improving radiation transport and transmutation methods for the design of fusion technologies, as well as whole-facility modeling for fusion power plants. Previously, he worked as a research scientist at MIT’s Plasma Science and Fusion Center. Peterson received his BS in nuclear engineering and physics from MIT and his PhD in plasma physics from the University of Wisconsin at Madison.
Dean Price joined the Department of Nuclear Science and Engineering as the Atlantic Richfield Career Development Professor in Energy Studies and an assistant professor in September. His work focuses on the simulation and control of advanced reactors, with expertise in uncertainty quantification, scientific machine learning, and artificial intelligence for nuclear applications. Previously, he was the Russell L. Heath Distinguished Postdoctoral Fellow at Idaho National Laboratory. He earned his BS in nuclear engineering from the University of Illinois and his PhD in nuclear engineering from the University of Michigan.
Daniel Varon joined the Department of Aeronautics and Astronautics as the Boeing Career Development Assistant Professor in Aeronautics and Astronautics, holding an MIT Schwarzman College of Computing shared position with IDSS, in July. Varon’s research focuses on using satellite observations of atmospheric composition to better understand human impacts on the environment and identify opportunities to reduce them. Previously, he held a visiting postdoctoral fellowship at the Princeton School of Public and International Affairs. Varon earned a BS in physics and a BA in English literature from McGill University, and an MS in applied mathematics and PhD in atmospheric chemistry from Harvard University.
Raphael Zufferey joined the Department of Mechanical Engineering as an assistant professor and the William I. Koch Career Development Professor in January. He studies bioinspired methods and unconventional designs to solve seamless aerial and aquatic locomotion for applications in ocean sciences. Zufferey previously worked as a Marie Curie postdoc at the École Polytechnique Fédérale de Lausanne (EPFL). He received his BA in micro-engineering and MS in robotics from EPFL and a PhD in robotics and aeronautics from Imperial College London.
The School of Engineering is also welcoming a number of faculty in the Department of EECS and the IDSS who hold shared positions with the MIT Schwarzman College of Computing and other departments. These include: Bailey Flanigan, Brian Hedden, Yunha Hwang, Benjamin Lindquist, Paris Smaragdis, Pu “Paul" Liang, Mariana Popescu, and Daniel Varon. For more information about these faculty members, read the Schwarzman College of Computing’s recent article.
Additionally, the School of Engineering has adopted the shared faculty search model to hire its first shared faculty member: Mark Rau. For more information, read the School of Humanities, Arts, and Social Sciences recent article.
MIT Schwarzman College of Computing welcomes 11 new faculty for 2025The faculty members occupy core computing and shared positions, bringing varied backgrounds and expertise to the MIT community.The MIT Schwarzman College of Computing welcomes 11 new faculty members in core computing and shared positions to the MIT community. They bring varied backgrounds and expertise spanning sustainable design, satellite remote sensing, decision theory, and the development of new algorithms for declarative artificial intelligence programming, among others.
“I warmly welcome this talented group of new faculty members. Their work lies at the forefront of computing and its broader impact in the world,” says Dan Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Computer Science.
College faculty include those with appointments in the Department of Electrical Engineering and Computer Science (EECS) or in the Institute for Data, Systems, and Society (IDSS), which report into both the MIT Schwarzman College of Computing and the School of Engineering. There are also several new faculty members in shared positions between the college and other MIT departments and sections, including Political Science, Linguistics and Philosophy, History, and Architecture.
“Thanks to another successful year of collaborative searches, we have hired six additional faculty in shared positions, bringing the total to 20,” says Huttenlocher.
The new shared faculty include:
Bailey Flanigan is an assistant professor in the Department of Political Science, holding an MIT Schwarzman College of Computing shared position with EECS. Her research combines tools from social choice theory, game theory, algorithms, statistics, and survey methods to advance political methodology and strengthen democratic participation. She is interested in sampling algorithms, opinion measurement, and the design of democratic innovations like deliberative minipublics and participatory budgeting. Flanigan was a postdoc at Harvard University’s Data Science Initiative, and she earned her PhD in computer science from Carnegie Mellon University.
Brian Hedden PhD ’12 is a professor in the Department of Linguistics and Philosophy, holding an MIT Schwarzman College of Computing shared position with EECS. His research focuses on how we ought to form beliefs and make decisions. His works span epistemology, decision theory, and ethics, including ethics of AI. He is the author of “Reasons without Persons: Rationality, Identity, and Time” (Oxford University Press, 2015) and articles on topics such as collective action problems, legal standards of proof, algorithmic fairness, and political polarization. Prior to joining MIT, he was a faculty member at the Australian National University and the University of Sydney, and a junior research fellow at Oxford University. He received his BA from Princeton University and his PhD from MIT, both in philosophy.
Yunha Hwang is an assistant professor in the Department of Biology, holding an MIT Schwarzman College of Computing shared position with EECS. She is also a member of the Laboratory for Information and Decision Systems. Her research interests span machine learning for sustainable biomanufacturing, microbial evolution, and open science. She serves as the co-founder and chief scientist at Tatta Bio, a scientific nonprofit dedicated to advancing genomic AI for biological discovery. She holds a BS in computer science from Stanford University and a PhD in biology from Harvard University.
Ben Lindquist is an assistant professor in the History Section, holding an MIT Schwarzman College of Computing shared position with EECS. Through a historical lens, his work observes the ways that computing has circulated with ideas of religion, emotion, and divergent thinking. His book, “The Feeling Machine” (University of Chicago Press, forthcoming), follows the history of synthetic speech to examine how emotion became a subject of computer science. He was a postdoc in the Science in Human Culture Program at Northwestern University and earned his PhD in history from Princeton University.
Mariana Popescu is an assistant professor in the Department of Architecture, holding an MIT Schwarzman College of Computing shared position with EECS. She is also a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). A computational architect and structural designer, Popescu has a strong interest and experience in innovative ways of approaching the fabrication process and use of materials in construction. Her area of expertise is computational and parametric design, with a focus on digital fabrication and sustainable design. Popescu earned her doctorate at ETH Zurich.
Paris Smaragdis SM ’97, PhD ’01 is a professor in the Music and Theater Arts Section, holding an MIT Schwarzman College of Computing shared position with EECS. His research focus lies at the intersection of signal processing and machine learning, especially as it relates to sound and music. Prior to coming to MIT, he worked as a research scientist at Mitsubishi Electric Research Labs, a senior research scientist at Adobe Research, and an Amazon Scholar with Amazon’s AWS. He spent 15 years as a professor at the University of Illinois Urbana Champaign in the Computer Science Department, where he spearheaded the design of the CS+Music program, and served as an associate director of the School of Computer and Data Science. He holds a BMus from Berklee College of Music and earned his PhD in perceptual computing from MIT.
Daniel Varon is an assistant professor in the Department of Aeronautics and Astronautics, holding an MIT Schwarzman College of Computing shared position with IDSS. His work focuses on using satellite observations of atmospheric composition to better understand human impacts on the environment and identify opportunities to reduce them. An atmospheric scientist, Varon is particularly interested in greenhouse gasses, air pollution, and satellite remote sensing. He holds an MS in applied mathematics and a PhD in atmospheric chemistry, both from Harvard University.
In addition, the School of Engineering has adopted the shared faculty search model to hire its first shared faculty member:
Mark Rau is an assistant professor in the Music and Theater Arts Section, holding a School of Engineering shared position with EECS. He is involved in developing graduate programming focused on music technology. He has an interest in musical acoustics, vibration and acoustic measurement, audio signal processing, and physical modeling synthesis. His work focuses on musical instruments and creative audio effects. He holds an MA in music, science, and technology from Stanford, as well as a BS in physics and BMus in jazz from McGill University. He earned his PhD at Stanford’s Center for Computer Research in Music and Acoustics.
The new core faculty are:
Mitchell Gordon is an assistant professor in EECS. He is also a member of CSAIL. In his research, Gordon designs interactive systems and evaluation approaches that bridge principles of human-computer interaction with the realities of machine learning. His work has won awards at conferences in human-computer interaction and artificial intelligence, including a best paper award at CHI and an Oral at NeurIPS. Gordon received a BS from the University of Rochester, and MS and PhD from Stanford University, all in computer science.
Omar Khattab is an assistant professor in EECS. He is also a member of CSAIL. His work focuses on natural language processing, information retrieval, and AI systems. His research includes developing new algorithms and abstractions for declarative AI programming and for composing retrieval and reasoning. He received his BS from Carnegie Mellon University and his PhD from Stanford University, both in computer science.
Rachit Nigam will join EECS as an assistant professor in January 2026. He will also be a member of CSAIL and the Microsystems Technology Laboratories. He works on programming languages and computer architecture to address the design, verification, and usability challenges of specialized hardware. He was previously a visiting scholar at MIT. Nigam earned an MS and PhD in computer science from Cornell University.
Lincoln Laboratory and Haystack Observatory team up to unveil hidden parts of the galaxyA proposed telescope made of thousands of tiny, identical satellites will work to reveal low-frequency radio waves in space.For centuries, humans have sought to study the stars and celestial bodies, whether through observations made by naked eye or by telescopes on the ground and in space that can view the universe across nearly the entire electromagnetic spectrum. Each view unlocks new information about the denizens of space — X-ray pulsars, gamma-ray bursts — but one is still missing: the low-frequency radio sky.
Researchers from MIT Lincoln Laboratory, the MIT Haystack Observatory, and Lowell Observatory are working on a NASA-funded concept study called the Great Observatory for Long Wavelengths, or GO-LoW, that outlines a method to view the universe at as-of-yet unseen low frequencies using a constellation of thousands of small satellites. The wavelengths of these frequencies are 15 meters to several kilometers in length, which means they require a very big telescope in order to see clearly.
"GO-LoW will be a new kind of telescope, made up of many thousands of spacecraft that work together semi-autonomously, with limited input from Earth," says Mary Knapp, the principal investigator for GO-LoW at the MIT Haystack Observatory. "GO-LoW will allow humans to see the universe in a new light, opening up one of the very last frontiers in the electromagnetic spectrum."
The difficulty in viewing the low-frequency radio sky comes from Earth's ionosphere, a layer of the atmosphere that contains charged particles that prevent very low-frequency radio waves from passing through. Therefore, a space-based instrument is required to observe these wavelengths. Another challenge is that long-wavelength observations require correspondingly large telescopes, which would need to be many kilometers in length if built using traditional dish antenna designs. GO-LoW will use interferometry — a technique that combines signals from many spatially separated receivers that, when put together, will function as one large telescope — to obtain highly detailed data from exoplanets and other sources in space. A similar technique was used to make the first image of a black hole and, more recently, an image of the first known extrasolar radiation belts.
Melodie Kao, a member of the team from Lowell Observatory, says the data could reveal details about an exoplanet's makeup and potential for life. "[The radio wave aurora around an exoplanet] carries important information, such as whether or not the planet has a magnetic field, how strong it is, how fast the planet is rotating, and even hints about what's inside," she says. "Studying exoplanet radio aurorae and the magnetic fields that they trace is an important piece of the habitability puzzle, and it's a key science goal for GO-LoW."
Several recent trends and technology developments will make GO-LoW possible in the near future, such as the declining cost of mass-produced small satellites, the rise of mega-constellations, and the return of large, high-capacity launch vehicles like NASA's Space Launch System. Go-LoW would be the first mega-constellation that uses interferometry for scientific purposes.
The GO-LoW constellation will be built through several successive launches, each containing thousands of spacecraft. Once they reach low-Earth orbit, the spacecraft will be refueled before journeying on to their final destination — an Earth-sun Lagrange point where they will then be deployed. Lagrange points are regions in space where the gravitational forces of two large celestial bodies (like the sun and Earth) are in equilibrium, such that a spacecraft requires minimal fuel to maintain its position relative to the two larger bodies. At this long distance from Earth (1 astronomical unit, or approximately 93 million miles), there will also be much less radio-frequency interference that would otherwise obscure GO-LoW’s sensitive measurements.
"GO-LoW will have a hierarchical architecture consisting of thousands of small listener nodes and a smaller number of larger communication and computation nodes (CCNs)," says Kat Kononov, a team member from Lincoln Laboratory's Applied Space Systems Group, who has been working with MIT Haystack staff since 2020, with Knapp serving as her mentor during graduate school. A node refers to an individual small satellite within the constellation. "The listener nodes are small, relatively simple 3U CubeSats — about the size of a loaf of bread — that collect data with their low-frequency antennas, store it in memory, and periodically send it to their communication and computation node via a radio link." In comparison, the CCNs are about the size of a mini-fridge.
The CCN will keep track of the positions of the listener nodes in their neighborhood; collect and reduce the data from their respective listener nodes (around 100 of them); and then transmit that data back to Earth, where more intensive data processing can be performed.
At full strength, with approximately 100,000 listener nodes, the GO-LoW constellation should be able to see exoplanets with magnetic fields in the solar neighborhood — within 5 to 10 parsecs — many for the very first time.
The GO-LoW research team recently published the results of their findings from Phase I of the study, which identified a type of advanced antenna called a vector sensor as the best type for this application. In 2024, Lincoln Laboratory designed a compact deployable version of the sensor suitable for use in space.
The team is now working on Phase II of the program, which is to build a multi-agent simulation of constellation operations.
"What we learned during the Phase I study is that the hard part for GO-LoW is not any specific technology … the hard part is the system: the system engineering and the autonomy to run the system," says Knapp. "So, how do we build this constellation such that it's a tractable problem? That's what we’re exploring in this next part of the study."
GO-LoW is one of many civil space programs at Lincoln Laboratory that aim to harness advanced technologies originally developed for national security to enable new space missions that support science and society. "By adapting these capabilities to serve new stakeholders, the laboratory helps open novel frontiers of discovery while building resilient, cost-effective systems that benefit the nation and the world," says Laura Kennedy, who is the deputy lead of Lincoln Laboratory's Civil Space Systems and Technology Office.
"Like landing on the moon in 1969, or launching Hubble in the 1990s, GO-LoW is envisioned to let us see something we've never seen before and generate scientific breakthroughs," says Kononov.
Go-LoW is a collaboration between Lincoln Laboratory, Haystack Observatory, and Lowell University, as well as Lenny Paritsky from LeafLabs and Jacob Turner from Cornell University.
In a surprising discovery, scientists find tiny loops in the genomes of dividing cellsEnabled by a new high-resolution mapping technique, the findings overturn a long-held belief that the genome loses its 3D structure when cells divide.Before cells can divide, they first need to replicate all of their chromosomes, so that each of the daughter cells can receive a full set of genetic material. Until now, scientists had believed that as division occurs, the genome loses the distinctive 3D internal structure that it typically forms.
Once division is complete, it was thought, the genome gradually regains that complex, globular structure, which plays an essential role in controlling which genes are turned on in a given cell.
However, a new study from MIT shows that in fact, this picture is not fully accurate. Using a higher-resolution genome mapping technique, the research team discovered that small 3D loops connecting regulatory elements and genes persist in the genome during cell division, or mitosis.
“This study really helps to clarify how we should think about mitosis. In the past, mitosis was thought of as a blank slate, with no transcription and no structure related to gene activity. And we now know that that’s not quite the case,” says Anders Sejr Hansen, an associate professor of biological engineering at MIT. “What we see is that there’s always structure. It never goes away.”
The researchers also discovered that these regulatory loops appear to strengthen when chromosomes become more compact in preparation for cell division. This compaction brings genetic regulatory elements closer together and encourages them to stick together. This may help cells “remember” interactions present in one cell cycle and carry it to the next one.
“The findings help to bridge the structure of the genome to its function in managing how genes are turned on and off, which has been an outstanding challenge in the field for decades,” says Viraat Goel PhD ’25, the lead author of the study.
Hansen and Edward Banigan, a research scientist in MIT’s Institute for Medical Engineering and Science, are the senior authors of the paper, which appears today in Nature Structural and Molecular Biology. Leonid Mirny, a professor in MIT’s Institute for Medical Engineering and Science and the Department of Physics, and Gerd Blobel, a professor at the Perelman School of Medicine at the University of Pennsylvania, are also authors of the study.
A surprising finding
Over the past 20 years, scientists have discovered that inside the cell nucleus, DNA organizes itself into 3D loops. While many loops enable interactions between genes and regulatory regions that may be millions of base pairs away from each other, others are formed during cell division to compact chromosomes. Much of the mapping of these 3D structures has been done using a technique called Hi-C, originally developed by a team that included MIT researchers and was led by Job Dekker at the University of Massachusetts Chan Medical School. To perform Hi-C, researchers use enzymes to chop the genome into many small pieces and biochemically link pieces that are near each other in 3D space within the cell’s nucleus. They then determine the identities of the interacting pieces by sequencing them.
However, that technique doesn’t have high enough resolution to pick out all specific interactions between genes and regulatory elements such as enhancers. Enhancers are short sequences of DNA that can help to activate the transcription of a gene by binding to the gene’s promoter — the site where transcription begins.
In 2023, Hansen and others developed a new technique that allows them to analyze 3D genome structures with 100 to 1,000 times greater resolution than was previously possible. This technique, known as Region-Capture Micro-C (RC-MC), uses a different enzyme that cuts the genome into small fragments of similar size. It also focuses on a smaller segment of the genome, allowing for high-resolution 3-D mapping of a targeted genome region.
Using this technique, the researchers were able to identify a new kind of genome structure that hadn’t been seen before, which they called “microcompartments.” These are tiny highly connected loops that form when enhancers and promoters located near each other stick together.
In that paper, experiments revealed that these loops were not formed by the same mechanisms that form other genome structures, but the researchers were unable to determine exactly how they do form. In hopes of answering that question, the team set out to study cells as they undergo cell division. During mitosis, chromosomes become much more compact, so that they can be duplicated, sorted, and divvied up between two daughter cells. As this happens, larger genome structures called A/B compartments and topologically associating domains (TADs) disappear completely.
The researchers believed that the microcompartments they had discovered would also disappear during mitosis. By tracking cells through the entire cell division process, they hoped to learn how the microcompartments appear after mitosis is completed.
“During mitosis, it has been thought that almost all gene transcription is shut off. And before our paper, it was also thought that all 3D structure related to gene regulation was lost and replaced by compaction. It’s a complete reset every cell cycle,” Hansen says.
However, to their surprise, the researchers found that microcompartments could still be seen during mitosis, and in fact they become more prominent as the cell goes through cell division.
“We went into this study thinking, well, the one thing we know for sure is that there’s no regulatory structure in mitosis, and then we accidentally found structure in mitosis,” Hansen says.
Using their technique, the researchers also confirmed that larger structures such as A/B compartments and TADs do disappear during mitosis, as had been seen before.
“This study leverages the unprecedented genomic resolution of the RC-MC assay to reveal new and surprising aspects of mitotic chromatin organization, which we have overlooked in the past using traditional 3C-based assays. The authors reveal that, contrary to the well-described dramatic loss of TADs and compartmentalization during mitosis, fine-scale “microcompartments” — nested interactions between active regulatory elements — are maintained or even transiently strengthened,” says Effie Apostolou, an associate professor of molecular biology in medicine at Weill Cornell Medicine, who was not involved in the study.
A spike in transcription
The findings may offer an explanation for a spike in gene transcription that usually occurs near the end of mitosis, the researchers say. Since the 1960s, it had been thought that transcription ceased completely during mitosis, but in 2016 and 2017, a few studies showed that cells undergo a brief spike of transcription, which is quickly suppressed until the cell finishes dividing.
In their new study, the MIT team found that during mitosis, microcompartments are more likely to be found near the genes that spike during cell division. They also discovered that these loops appear to form as a result of the genome compaction that occurs during mitosis. This compaction brings enhancers and promoters closer together, allowing them to stick together to form microcompartments.
Once formed, the loops that constitute microcompartments may activate gene transcription somewhat by accident, which is then shut off by the cell. When the cell finishes dividing, entering a state known as G1, many of these small loops become weaker or disappear.
“It almost seems like this transcriptional spiking in mitosis is an undesirable accident that arises from generating a uniquely favorable environment for microcompartments to form during mitosis,” Hansen says. “Then, the cell quickly prunes and filters many of those loops out when it enters G1.”
Because chromosome compaction can also be influenced by a cell’s size and shape, the researchers are now exploring how variations in those features affect the structure of the genome and in turn, gene regulation.
“We are thinking about some natural biological settings where cells change shape and size, and whether we can perhaps explain some 3D genome changes that previously lack an explanation,” Hansen says. “Another key question is how does the cell then pick what are the microcompartments to keep and what are the microcompartments to remove when you enter G1, to ensure fidelity of gene expression?”
The research was funded in part by the National Institutes of Health, a National Science Foundation CAREER Award, the Gene Regulation Observatory of the Broad Institute, a Pew-Steward Scholar Award for Cancer Research, the Mathers Foundation, the MIT Westaway Fund, the Bridge Project of the Koch Institute and Dana-Farber/Harvard Cancer Center, and the Koch Institute Support (core) Grant from the National Cancer Institute.
Method teaches generative AI models to locate personalized objectsAfter being trained with this technique, vision-language models can better identify a unique item in a new scene.Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog-owner to do while onsite.
But if someone wants to use a generative AI model like GPT-5 to monitor their pet while they are at work, the model could fail at this basic task. Vision-language models like GPT-5 often excel at recognizing general objects, like a dog, but they perform poorly at locating personalized objects, like Bowser the French Bulldog.
To address this shortcoming, researchers from MIT, the MIT-IBM Watson AI Lab, the Weizmann Institute of Science, and elsewhere have introduced a new training method that teaches vision-language models to localize personalized objects in a scene.
Their method uses carefully prepared video-tracking data in which the same object is tracked across multiple frames. They designed the dataset so the model must focus on contextual clues to identify the personalized object, rather than relying on knowledge it previously memorized.
When given a few example images showing a personalized object, like someone’s pet, the retrained model is better able to identify the location of that same pet in a new image.
Models retrained with their method outperformed state-of-the-art systems at this task. Importantly, their technique leaves the rest of the model’s general abilities intact.
This new approach could help future AI systems track specific objects across time, like a child’s backpack, or localize objects of interest, such as a species of animal in ecological monitoring. It could also aid in the development of AI-driven assistive technologies that help visually impaired users find certain items in a room.
“Ultimately, we want these models to be able to learn from context, just like humans do. If a model can do this well, rather than retraining it for each new task, we could just provide a few examples and it would infer how to perform the task from that context. This is a very powerful ability,” says Jehanzeb Mirza, an MIT postdoc and senior author of a paper on this technique.
Mirza is joined on the paper by co-lead authors Sivan Doveh, a postdoc at Stanford University who was a graduate student at Weizmann Institute of Science when this research was conducted; and Nimrod Shabtay, a researcher at IBM Research; James Glass, a senior research scientist and the head of the Spoken Language Systems Group in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL); and others. The work will be presented at the International Conference on Computer Vision.
An unexpected shortcoming
Researchers have found that large language models (LLMs) can excel at learning from context. If they feed an LLM a few examples of a task, like addition problems, it can learn to answer new addition problems based on the context that has been provided.
A vision-language model (VLM) is essentially an LLM with a visual component connected to it, so the MIT researchers thought it would inherit the LLM’s in-context learning capabilities. But this is not the case.
“The research community has not been able to find a black-and-white answer to this particular problem yet. The bottleneck could arise from the fact that some visual information is lost in the process of merging the two components together, but we just don’t know,” Mirza says.
The researchers set out to improve VLMs abilities to do in-context localization, which involves finding a specific object in a new image. They focused on the data used to retrain existing VLMs for a new task, a process called fine-tuning.
Typical fine-tuning data are gathered from random sources and depict collections of everyday objects. One image might contain cars parked on a street, while another includes a bouquet of flowers.
“There is no real coherence in these data, so the model never learns to recognize the same object in multiple images,” he says.
To fix this problem, the researchers developed a new dataset by curating samples from existing video-tracking data. These data are video clips showing the same object moving through a scene, like a tiger walking across a grassland.
They cut frames from these videos and structured the dataset so each input would consist of multiple images showing the same object in different contexts, with example questions and answers about its location.
“By using multiple images of the same object in different contexts, we encourage the model to consistently localize that object of interest by focusing on the context,” Mirza explains.
Forcing the focus
But the researchers found that VLMs tend to cheat. Instead of answering based on context clues, they will identify the object using knowledge gained during pretraining.
For instance, since the model already learned that an image of a tiger and the label “tiger” are correlated, it could identify the tiger crossing the grassland based on this pretrained knowledge, instead of inferring from context.
To solve this problem, the researchers used pseudo-names rather than actual object category names in the dataset. In this case, they changed the name of the tiger to “Charlie.”
“It took us a while to figure out how to prevent the model from cheating. But we changed the game for the model. The model does not know that ‘Charlie’ can be a tiger, so it is forced to look at the context,” he says.
The researchers also faced challenges in finding the best way to prepare the data. If the frames are too close together, the background would not change enough to provide data diversity.
In the end, finetuning VLMs with this new dataset improved accuracy at personalized localization by about 12 percent on average. When they included the dataset with pseudo-names, the performance gains reached 21 percent.
As model size increases, their technique leads to greater performance gains.
In the future, the researchers want to study possible reasons VLMs don’t inherit in-context learning capabilities from their base LLMs. In addition, they plan to explore additional mechanisms to improve the performance of a VLM without the need to retrain it with new data.
“This work reframes few-shot personalized object localization — adapting on the fly to the same object across new scenes — as an instruction-tuning problem and uses video-tracking sequences to teach VLMs to localize based on visual context rather than class priors. It also introduces the first benchmark for this setting with solid gains across open and proprietary VLMs. Given the immense significance of quick, instance-specific grounding — often without finetuning — for users of real-world workflows (such as robotics, augmented reality assistants, creative tools, etc.), the practical, data-centric recipe offered by this work can help enhance the widespread adoption of vision-language foundation models,” says Saurav Jha, a postdoc at the Mila-Quebec Artificial Intelligence Institute, who was not involved with this work.
Additional co-authors are Wei Lin, a research associate at Johannes Kepler University; Eli Schwartz, a research scientist at IBM Research; Hilde Kuehne, professor of computer science at Tuebingen AI Center and an affiliated professor at the MIT-IBM Watson AI Lab; Raja Giryes, an associate professor at Tel Aviv University; Rogerio Feris, a principal scientist and manager at the MIT-IBM Watson AI Lab; Leonid Karlinsky, a principal research scientist at IBM Research; Assaf Arbelle, a senior research scientist at IBM Research; and Shimon Ullman, the Samy and Ruth Cohn Professor of Computer Science at the Weizmann Institute of Science.
This research was funded, in part, by the MIT-IBM Watson AI Lab.
Darcy McRose and Mehtaab Sawhney ’20, PhD ’24 named 2025 Packard Fellows for Science and EngineeringMcRose, an environmental microbiologist, is recognized for researching the ecological roles of antibiotics in shaping ecosystems, agriculture, and health.The David and Lucile Packard Foundation has announced that two MIT affiliates have been named 2025 Packard Fellows for Science and Engineering. Darcy McRose, the Thomas D. and Virginia W. Cabot Career Development Professor in the MIT Department of Civil and Environmental Engineering, has been honored, along with Mehtaab Sawhney ’20, PhD ’24, a graduate of the Department of Mathematics who is now at Columbia University.
The honorees are among 20 junior faculty named among the nation’s most innovative early-career scientists and engineers. Each Packard Fellow receives an unrestricted research grant of $875,000 over five years to support their pursuit of pioneering research and bold new ideas.
“I’m incredibly grateful and honored to be awarded a Packard Fellowship,” says McRose. “It will allow us to continue our work exploring how small molecules control microbial communities in soils and on plant roots, with much-appreciated flexibility to follow our imagination wherever it leads us.”
McRose and her lab study secondary metabolites — small organic molecules that microbes and plants release into soils. Often known as antibiotics, these compounds do far more than fight infections; they can help unlock soil nutrients, shape microbial communities around plant roots, and influence soil fertility.
“Antibiotics made by soil microorganisms are widely used in medicine, but we know surprisingly little about what they do in nature,” explains McRose. “Just as healthy microbiomes support human health, plant microbiomes support plant health, and secondary metabolites can help to regulate the microbial community, suppressing pathogens and promoting beneficial microbes.”
Her lab integrates techniques from genetics, chemistry, and geosciences to investigate how these molecules shape interactions between microbes and plants in soil — one of Earth’s most complex and least-understood environments. By using secondary metabolites as experimental tools, McRose aims to uncover the molecular mechanisms that govern processes like soil fertility and nutrient cycling that are foundational to sustainable agriculture and ecosystem health.
Studying antibiotics in the environments where they evolved could also yield new strategies for combating soil-borne pathogens and improving crop resilience. “Soil is a true scientific frontier,” McRose says. “Studying these environments has the potential to reveal fascinating, fundamental insights into microbial life — many of which we can’t even imagine yet.”
A native of California, McRose earned her bachelor’s and master’s degrees from Stanford University, followed by a PhD in geosciences from Princeton University. Her graduate thesis focused on how bacteria acquire trace metals from the environment. Her postdoctoral research on secondary metabolites at Caltech was supported by multiple fellowships, including the Simons Foundation Marine Microbial Ecology Postdoctoral Fellowship, the L’Oréal USA For Women in Science Fellowship, and a Division Fellowship from Biology and Biological Engineering at Caltech.
McRose joined the MIT faculty in 2022. In 2025, she was named a Sloan Foundation Research Fellow in Earth System Science and awarded the Maseeh Excellence in Teaching Award.
Past Packard Fellows have gone on to earn the highest honors, including Nobel Prizes in chemistry and physics, the Fields Medal, Alan T. Waterman Awards, Breakthrough Prizes, Kavli Prizes, and elections to the National Academies of Science, Engineering, and Medicine. Each year, the foundation reviews 100 nominations for consideration from 50 invited institutions. The Packard Fellowships Advisory Panel, a group of 12 internationally recognized scientists and engineers, evaluates the nominations and recommends 20 fellows for approval by the Packard Foundation Board of Trustees.
MIT engineers solve the sticky-cell problem in bioreactors and other industriesTheir system uses electrochemically generated bubbles to detach cells from surfaces, which could accelerate the growth of carbon-absorbing algae and lifesaving cell therapies.To help mitigate climate change, companies are using bioreactors to grow algae and other microorganisms that are hundreds of times more efficient at absorbing CO2 than trees. Meanwhile, in the pharmaceutical industry, cell culture is used to manufacture biologic drugs and other advanced treatments, including lifesaving gene and cell therapies.
Both processes are hampered by cells’ tendency to stick to surfaces, which leads to a huge amount of waste and downtime for cleaning. A similar problem slows down biofuel production, interferes with biosensors and implants, and makes the food and beverage industry less efficient.
Now, MIT researchers have developed an approach for detaching cells from surfaces on demand, using electrochemically generated bubbles. In an open-access paper published in Science Advances, the researchers demonstrated their approach in a lab prototype and showed it could work across a range of cells and surfaces without harming the cells.
“We wanted to develop a technology that could be high-throughput and plug-and-play, and that would allow cells to attach and detach on demand to improve the workflow in these industrial processes,” says Professor Kripa Varanasi, senior author of the study. “This is a fundamental issue with cells, and we’ve solved it with a process that can scale. It lends itself to many different applications.”
Joining Varanasi on the study are co-first authors Bert Vandereydt, a PhD student in mechanical engineering, and former postdoc Baptiste Blanc.
Solving a sticky problem
The researchers began with a mission.
“We’ve been working on figuring out how we can efficiently capture CO2 across different sources and convert it into valuable products for various end markets,” Varanasi says. “That’s where this photobioreactor and cell detachment comes into the picture.”
Photobioreactors are used to grow carbon-absorbing algae cells by creating tightly controlled environments involving water and sunlight. They feature long, winding tubes with clear surfaces to let in the light algae need to grow. When algae stick to those surfaces, they block out the light, requiring cleaning.
“You have to shut down and clean up the entire reactor as frequently as every two weeks,” Varanasi says. “It’s a huge operational challenge.”
The researchers realized other industries have similar problem due to many cells’ natural adhesion, or stickiness. Each industry has its own solution for cell adhesion depending on how important it is that the cells survive. Some people scrape the surfaces clean, while others use special coatings that are toxic to cells.
In the pharmaceutical and biotech industries, cell detachment is typically carried out using enzymes. However, this method poses several challenges — it can damage cell membranes, is time-consuming, and requires large amounts of consumables, resulting in millions of liters of biowaste.
To create a better solution, the researchers began by studying other efforts to clear surfaces with bubbles, which mainly involved spraying bubbles onto surfaces and had been largely ineffective.
“We realized we needed the bubbles to form on the surfaces where we don’t want these cells to stick, so when the bubbles detach it creates a local fluid flow that creates shear stress at the interface and removes the cells,” Varanasi explains.
Electric currents generate bubbles by splitting water into hydrogen and oxygen. But previous attempts at using electricity to detach cells were hampered because the cell culture mediums contain sodium chloride, which turns into bleach when combined with an electric current. The bleach damages the cells, making it impractical for many applications.
“The culprit is the anode — that’s where the sodium chloride turns to bleach,” Vandereydt explained. “We figured if we could separate that electrode from the rest of the system, we could prevent bleach from being generated.”
To make a better system, the researchers built a 3-square-inch glass surface and deposited a gold electrode on top of it. The layer of gold is so thin it doesn’t block out light. To keep the other electrode separate, the researchers integrated a special membrane that only allows protons to pass through. The set up allowed the researchers to send a current through without generating bleach.
To test their setup, they allowed algae cells from a concentrated solution to stick to the surfaces. When they applied a voltage, the bubbles separated the cells from the surfaces without harming them.
The researchers also studied the interaction between the bubbles and cells, finding the higher the current density, the more bubbles were created and the more algae was removed. They developed a model for understanding how much current would be needed to remove algae in different settings and matched it with results from experiments involving algae as well as cells from ovarian cancer and bones.
“Mammalian cells are orders of magnitude more sensitive than algae cells, but even with those cells, we were able to detach them with no impact to the viability of the cell,” Vandereydt says.
Getting to scale
The researchers say their system could represent a breakthrough in applications where bleach or other chemicals would harm cells. That includes pharmaceutical and food production.
“If we can keep these systems running without fouling and other problems, then we can make them much more economical,” Varanasi says.
For cell culture plates used in the pharmaceutical industry, the team envisions their system comprising an electrode that could be robotically moved from one culture plate to the next, to detach cells as they’re grown. It could also be coiled around algae harvesting systems.
“This has general applicability because it doesn’t rely on any specific biological or chemical treatments, but on a physical force that is system-agnostic,” Varanasi says. “It’s also highly scalable to a lot of different processes, including particle removal.”
Varanasi cautions there is much work to be done to scale up the system. But he hopes it can one day make algae and other cell harvesting more efficient.
“The burning problem of our time is to somehow capture CO2 in a way that’s economically feasible,” Varanasi says. “These photobioreactors could be used for that, but we have to overcome the cell adhesion problem.”
The work was supported, in part, by Eni S.p.A through the MIT Energy Initiative, the Belgian American Educational Foundation Fellowship, and the Maria Zambrano Fellowship.
Why some quantum materials stall while others scaleIn a new study, MIT researchers evaluated quantum materials’ potential for scalable commercial success — and identified promising candidates.People tend to think of quantum materials — whose properties arise from quantum mechanical effects — as exotic curiosities. But some quantum materials have become a ubiquitous part of our computer hard drives, TV screens, and medical devices. Still, the vast majority of quantum materials never accomplish much outside of the lab.
What makes certain quantum materials commercial successes and others commercially irrelevant? If researchers knew, they could direct their efforts toward more promising materials — a big deal since they may spend years studying a single material.
Now, MIT researchers have developed a system for evaluating the scale-up potential of quantum materials. Their framework combines a material’s quantum behavior with its cost, supply chain resilience, environmental footprint, and other factors. The researchers used their framework to evaluate over 16,000 materials, finding that the materials with the highest quantum fluctuation in the centers of their electrons also tend to be more expensive and environmentally damaging. The researchers also identified a set of materials that achieve a balance between quantum functionality and sustainability for further study.
The team hopes their approach will help guide the development of more commercially viable quantum materials that could be used for next generation microelectronics, energy harvesting applications, medical diagnostics, and more.
“People studying quantum materials are very focused on their properties and quantum mechanics,” says Mingda Li, associate professor of nuclear science and engineering and the senior author of the work. “For some reason, they have a natural resistance during fundamental materials research to thinking about the costs and other factors. Some told me they think those factors are too ‘soft’ or not related to science. But I think within 10 years, people will routinely be thinking about cost and environmental impact at every stage of development.”
The paper appears in Materials Today. Joining Li on the paper are co-first authors and PhD students Artittaya Boonkird, Mouyang Cheng, and Abhijatmedhi Chotrattanapituk, along with PhD students Denisse Cordova Carrizales and Ryotaro Okabe; former graduate research assistants Thanh Nguyen and Nathan Drucker; postdoc Manasi Mandal; Instructor Ellan Spero of the Department of Materials Science and Engineering (DMSE); Professor Christine Ortiz of the Department of DMSE; Professor Liang Fu of the Department of Physics; Professor Tomas Palacios of the Department of Electrical Engineering and Computer Science (EECS); Associate Professor Farnaz Niroui of EECS; Assistant Professor Jingjie Yeo of Cornell University; and PhD student Vsevolod Belosevich and Assostant Professor Qiong Ma of Boston College.
Materials with impact
Cheng and Boonkird say that materials science researchers often gravitate toward quantum materials with the most exotic quantum properties rather than the ones most likely to be used in products that change the world.
“Researchers don’t always think about the costs or environmental impacts of the materials they study,” Cheng says. “But those factors can make them impossible to do anything with.”
Li and his collaborators wanted to help researchers focus on quantum materials with more potential to be adopted by industry. For this study, they developed methods for evaluating factors like the materials’ price and environmental impact using their elements and common practices for mining and processing those elements. At the same time, they quantified the materials’ level of “quantumness” using an AI model created by the same group last year, based on a concept proposed by MIT professor of physics Liang Fu, termed quantum weight.
“For a long time, it’s been unclear how to quantify the quantumness of a material,” Fu says. “Quantum weight is very useful for this purpose. Basically, the higher the quantum weight of a material, the more quantum it is.”
The researchers focused on a class of quantum materials with exotic electronic properties known as topological materials, eventually assigning over 16,000 materials scores on environmental impact, price, import resilience, and more.
For the first time, the researchers found a strong correlation between the material’s quantum weight and how expensive and environmentally damaging it is.
“That’s useful information because the industry really wants something very low-cost,” Spero says. “We know what we should be looking for: high quantum weight, low-cost materials. Very few materials being developed meet that criteria, and that likely explains why they don’t scale to industry.”
The researchers identified 200 environmentally sustainable materials and further refined the list down to 31 material candidates that achieved an optimal balance of quantum functionality and high-potential impact.
The researchers also found that several widely studied materials exhibit high environmental impact scores, indicating they will be hard to scale sustainably. “Considering the scalability of manufacturing and environmental availability and impact is critical to ensuring practical adoption of these materials in emerging technologies,” says Niroui.
Guiding research
Many of the topological materials evaluated in the paper have never been synthesized, which limited the accuracy of the study’s environmental and cost predictions. But the authors say the researchers are already working with companies to study some of the promising materials identified in the paper.
“We talked with people at semiconductor companies that said some of these materials were really interesting to them, and our chemist collaborators also identified some materials they find really interesting through this work,” Palacios says. “Now we want to experimentally study these cheaper topological materials to understand their performance better.”
“Solar cells have an efficiency limit of 34 percent, but many topological materials have a theoretical limit of 89 percent. Plus, you can harvest energy across all electromagnetic bands, including our body heat,” Fu says. “If we could reach those limits, you could easily charge your cell phone using body heat. These are performances that have been demonstrated in labs, but could never scale up. That’s the kind of thing we’re trying to push forward."
This work was supported, in part, by the National Science Foundation and the U.S. Department of Energy.
Optimizing food subsidies: Applying digital platforms to maximize nutritionAn algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.Oct. 16 is World Food Day, a global campaign to celebrate the founding of the Food and Agriculture Organization 80 years ago, and to work toward a healthy, sustainable, food-secure future. More than 670 million people in the world are facing hunger. Millions of others are facing rising obesity rates and struggle to get healthy food for proper nutrition.
World Food Day calls on not only world governments, but business, academia, the media, and even the youth to take action to promote resilient food systems and combat hunger. This year, the Abdul Latif Jameel Water and Food Systems Laboratory (J-WAFS) is spotlighting an MIT researcher who is working toward this goal by studying food and water systems in the Global South.
J-WAFS seed grants provide funding to early-stage research projects that are unique to prior work. In an 11th round of seed grant funding in 2025, 10 MIT faculty members received support to carry out their cutting-edge water and food research. Ali Aouad PhD ’17, assistant professor of operations management at the MIT Sloan School of Management, was one of those grantees. “I had searched before joining MIT what kind of research centers and initiatives were available that tried to coalesce research on food systems,” Aouad says. “And so, I was very excited about J-WAFS.”
Aouad gathered more information about J-WAFS at the new faculty orientation session in August 2024, where he spoke to J-WAFS staff and learned about the program’s grant opportunities for water and food research. Later that fall semester, he attended a few J-WAFS seminars on agricultural economics and water resource management. That’s when Aouad knew that his project was perfectly aligned with the J-WAFS mission of securing humankind’s water and food.
Aouad’s seed project focuses on food subsidies. With a background in operations research and an interest in digital platforms, much of his work has centered on aligning supply-side operations with heterogeneous customer preferences. Past projects include ones on retail and matching systems. “I started thinking that these types of demand-driven approaches may be also very relevant to important social challenges, particularly as they relate to food security,” Aouad says. Before starting his PhD at MIT, Aouad worked on projects that looked at subsidies for smallholder farmers in low- and middle-income countries. “I think in the back of my mind, I've always been fascinated by trying to solve these issues,” he noted.
His seed grant project, Optimal subsidy design: Application to food assistance programs, aims to leverage data on preferences and purchasing habits from local grocery stores in India to inform food assistance policy and optimize the design of subsidies. Typical data collection systems, like point-of-sales, are not as readily available in India’s local groceries, making this type of data hard to come by for low-income individuals. “Mom-and-pop stores are extremely important last-mile operators when it comes to nutrition,” he explains.
For this project, the research team gave local grocers point-of-sale scanners to track purchasing habits. “We aim to develop an algorithm that converts these transactions into some sort of ‘revelation’ of the individuals’ latent preferences,” says Aouad. “As such, we can model and optimize the food assistance programs — how much variety and flexibility is offered, taking into account the expected demand uptake.” He continues, “now, of course, our ability to answer detailed design questions [across various products and prices] depends on the quality of our inference from the data, and so this is where we need more sophisticated and robust algorithms.”
Following the data collection and model development, the ultimate goal of this research is to inform policy surrounding food assistance programs through an “optimization approach.” Aouad describes the complexities of using optimization to guide policy. “Policies are often informed by domain expertise, legacy systems, or political deliberation. A lot of researchers build rigorous evidence to inform food policy, but it’s fair to say that the kind of approach that I’m proposing in this research is not something that is commonly used. I see an opportunity for bringing a new approach and methodological tradition to a problem that has been central for policy for many decades.”
The overall health of consumers is the reason food assistance programs exist, yet measuring long-term nutritional impacts and shifts in purchase behavior is difficult. In past research, Aouad notes that the short-term effects of food assistance interventions can be significant. However, these effects are often short-lived. “This is a fascinating question that I don’t think we will be able to address within the space of interventions that we will be considering. However, I think it is something I would like to capture in the research, and maybe develop hypotheses for future work around how we can shift nutrition-related behaviors in the long run.”
While his project develops a new methodology to calibrate food assistance programs, large-scale applications are not promised. “A lot of what drives subsidy mechanisms and food assistance programs is also, quite frankly, how easy it is and how cost-effective it is to implement these policies in the first place,” comments Aouad. Cost and infrastructure barriers are unavoidable to this kind of policy research, as well as sustaining these programs. Aouad’s effort will provide insights into customer preferences and subsidy optimization in a pilot setup, but replicating this approach on a real scale may be costly. Aouad hopes to be able to gather proxy information from customers that would both feed into the model and provide insight into a more cost-effective way to collect data for large-scale implementation.
There is still much work to be done to ensure food security for all, whether it’s advances in agriculture, food-assistance programs, or ways to boost adequate nutrition. As the 2026 seed grant deadline approaches, J-WAFS will continue its mission of supporting MIT faculty as they pursue innovative projects that have practical and real impacts on water and food system challenges.
Checking the quality of materials just got easier with a new AI toolActing as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates.
But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new technologies.
Now, a new AI tool developed by MIT engineers could help clear the quality-control bottleneck, offering a faster and cheaper option for certain materials-driven industries.
In a study appearing today in the journal Matter, the researchers present “SpectroGen,” a generative AI tool that turbocharges scanning capabilities by serving as a virtual spectrometer. The tool takes in “spectra,” or measurements of a material in one scanning modality, such as infrared, and generates what that material’s spectra would look like if it were scanned in an entirely different modality, such as X-ray. The AI-generated spectral results match, with 99 percent accuracy, the results obtained from physically scanning the material with the new instrument.
Certain spectroscopic modalities reveal specific properties in a material: Infrared reveals a material’s molecular groups, while X-ray diffraction visualizes the material’s crystal structures, and Raman scattering illuminates a material’s molecular vibrations. Each of these properties is essential in gauging a material’s quality and typically requires tedious workflows on multiple expensive and distinct instruments to measure.
With SpectroGen, the researchers envision that a diversity of measurements can be made using a single and cheaper physical scope. For instance, a manufacturing line could carry out quality control of materials by scanning them with a single infrared camera. Those infrared spectra could then be fed into SpectroGen to automatically generate the material’s X-ray spectra, without the factory having to house and operate a separate, often more expensive X-ray-scanning laboratory.
The new AI tool generates spectra in less than one minute, a thousand times faster compared to traditional approaches that can take several hours to days to measure and validate.
“We think that you don’t have to do the physical measurements in all the modalities you need, but perhaps just in a single, simple, and cheap modality,” says study lead Loza Tadesse, assistant professor of mechanical engineering at MIT. “Then you can use SpectroGen to generate the rest. And this could improve productivity, efficiency, and quality of manufacturing.”
The study was led by Tadesse, with former MIT postdoc Yanmin Zhu serving as first author.
Beyond bonds
Tadesse’s interdisciplinary group at MIT pioneers technologies that advance human and planetary health, developing innovations for applications ranging from rapid disease diagnostics to sustainable agriculture.
“Diagnosing diseases, and material analysis in general, usually involves scanning samples and collecting spectra in different modalities, with different instruments that are bulky and expensive and that you might not all find in one lab,” Tadesse says. “So, we were brainstorming about how to miniaturize all this equipment and how to streamline the experimental pipeline.”
Zhu noted the increasing use of generative AI tools for discovering new materials and drug candidates, and wondered whether AI could also be harnessed to generate spectral data. In other words, could AI act as a virtual spectrometer?
A spectroscope probes a material’s properties by sending light of a certain wavelength into the material. That light causes molecular bonds in the material to vibrate in ways that scatter the light back out to the scope, where the light is recorded as a pattern of waves, or spectra, that can then be read as a signature of the material’s structure.
For AI to generate spectral data, the conventional approach would involve training an algorithm to recognize connections between physical atoms and features in a material, and the spectra they produce. Given the complexity of molecular structures within just one material, Tadesse says such an approach can quickly become intractable.
“Doing this even for just one material is impossible,” she says. “So, we thought, is there another way to interpret spectra?”
The team found an answer with math. They realized that a spectral pattern, which is a sequence of waveforms, can be represented mathematically. For instance, a spectrum that contains a series of bell curves is known as a “Gaussian” distribution, which is associated with a certain mathematical expression, compared to a series of narrower waves, known as a “Lorentzian” distribution, that is described by a separate, distinct algorithm. And as it turns out, for most materials infrared spectra characteristically contain more Lorentzian waveforms, while Raman spectra are more Gaussian, and X-ray spectra is a mix of the two.
Tadesse and Zhu worked this mathematical interpretation of spectral data into an algorithm that they then incorporated into a generative AI model.
“It’s a physics-savvy generative AI that understands what spectra are,” Tadesse says. “And the key novelty is, we interpreted spectra not as how it comes about from chemicals and bonds, but that it is actually math — curves and graphs, which an AI tool can understand and interpret.”
Data co-pilot
The team demonstrated their SpectroGen AI tool on a large, publicly available dataset of over 6,000 mineral samples. Each sample includes information on the mineral’s properties, such as its elemental composition and crystal structure. Many samples in the dataset also include spectral data in different modalities, such as X-ray, Raman, and infrared. Of these samples, the team fed several hundred to SpectroGen, in a process that trained the AI tool, also known as a neural network, to learn correlations between a mineral’s different spectral modalities. This training enabled SpectroGen to take in spectra of a material in one modality, such as in infrared, and generate what a spectra in a totally different modality, such as X-ray, should look like.
Once they trained the AI tool, the researchers fed SpectroGen spectra from a mineral in the dataset that was not included in the training process. They asked the tool to generate a spectra in a different modality, based on this “new” spectra. The AI-generated spectra, they found, was a close match to the mineral’s real spectra, which was originally recorded by a physical instrument. The researchers carried out similar tests with a number of other minerals and found that the AI tool quickly generated spectra, with 99 percent correlation.
“We can feed spectral data into the network and can get another totally different kind of spectral data, with very high accuracy, in less than a minute,” Zhu says.
The team says that SpectroGen can generate spectra for any type of mineral. In a manufacturing setting, for instance, mineral-based materials that are used to make semiconductors and battery technologies could first be quickly scanned by an infrared laser. The spectra from this infrared scanning could be fed into SpectroGen, which would then generate a spectra in X-ray, which operators or a multiagent AI platform can check to assess the material’s quality.
“I think of it as having an agent or co-pilot, supporting researchers, technicians, pipelines and industry,” Tadesse says. “We plan to customize this for different industries’ needs.”
The team is exploring ways to adapt the AI tool for disease diagnostics, and for agricultural monitoring through an upcoming project funded by Google. Tadesse is also advancing the technology to the field through a new startup and envisions making SpectroGen available for a wide range of sectors, from pharmaceuticals to semiconductors to defense.
Helping scientists run complex data analyses without writing codeCo-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.As costs for diagnostic and sequencing technologies have plummeted in recent years, researchers have collected an unprecedented amount of data around disease and biology. Unfortunately, scientists hoping to go from data to new cures often require help from someone with experience in software engineering.
Now, Watershed Bio is helping scientists and bioinformaticians run experiments and get insights with a platform that lets users analyze complex datasets regardless of their computational skills. The cloud-based platform provides workflow templates and a customizable interface to help users explore and share data of all types, including whole-genome sequencing, transcriptomics, proteomics, metabolomics, high-content imaging, protein folding, and more.
“Scientists want to learn about the software and data science parts of the field, but they don’t want to become software engineers writing code just to understand their data,” co-founder and CEO Jonathan Wang ’13, SM ’15 says. “With Watershed, they don’t have to.”
Watershed is being used by large and small research teams across industry and academia to drive discovery and decision-making. When new advanced analytic techniques are described in scientific journals, they can be added to Watershed’s platform immediately as templates, making cutting-edge tools more accessible and collaborative for researchers of all backgrounds.
“The data in biology is growing exponentially, and the sequencing technologies generating this data are only getting better and cheaper,” Wang says. “Coming from MIT, this issue was right in my wheelhouse: It’s a tough technical problem. It’s also a meaningful problem because these people are working to treat diseases. They know all this data has value, but they struggle to use it. We want to help them unlock more insights faster.”
No code discovery
Wang expected to major in biology at MIT, but he quickly got excited by the possibilities of building solutions that scaled to millions of people with computer science. He ended up earning both his bachelor’s and master’s degrees from the Department of Electrical Engineering and Computer Science (EECS). Wang also interned at a biology lab at MIT, where he was surprised how slow and labor-intensive experiments were.
“I saw the difference between biology and computer science, where you had these dynamic environments [in computer science] that let you get feedback immediately,” Wang says. “Even as a single person writing code, you have so much at your fingertips to play with.”
While working on machine learning and high-performance computing at MIT, Wang also co-founded a high frequency trading firm with some classmates. His team hired researchers with PhD backgrounds in areas like math and physics to develop new trading strategies, but they quickly saw a bottleneck in their process.
“Things were moving slowly because the researchers were used to building prototypes,” Wang says. “These were small approximations of models they could run locally on their machines. To put those approaches into production, they needed engineers to make them work in a high-throughput way on a computing cluster. But the engineers didn’t understand the nature of the research, so there was a lot of back and forth. It meant ideas you thought could have been implemented in a day took weeks.”
To solve the problem, Wang’s team developed a software layer that made building production-ready models as easy as building prototypes on a laptop. Then, a few years after graduating MIT, Wang noticed technologies like DNA sequencing had become cheap and ubiquitous.
“The bottleneck wasn’t sequencing anymore, so people said, ‘Let’s sequence everything,’” Wang recalls. “The limiting factor became computation. People didn’t know what to do with all the data being generated. Biologists were waiting for data scientists and bioinformaticians to help them, but those people didn’t always understand the biology at a deep enough level.”
The situation looked familiar to Wang.
“It was exactly like what we saw in finance, where researchers were trying to work with engineers, but the engineers never fully understood, and you had all this inefficiency with people waiting on the engineers,” Wang says. “Meanwhile, I learned the biologists are hungry to run these experiments, but there is such a big gap they felt they had to become a software engineer or just focus on the science.”
Wang officially founded Watershed in 2019 with physician Mark Kalinich ’13, a former classmate at MIT who is no longer involved in day-to-day operations of the company.
Wang has since heard from biotech and pharmaceutical executives about the growing complexity of biology research. Unlocking new insights increasingly involves analyzing data from entire genomes, population studies, RNA sequencing, mass spectrometry, and more. Developing personalized treatments or selecting patient populations for a clinical study can also require huge datasets, and there are new ways to analyze data being published in scientific journals all the time.
Today, companies can run large-scale analyses on Watershed without having to set up their own servers or cloud computing accounts. Researchers can use ready-made templates that work with all the most common data types to accelerate their work. Popular AI-based tools like AlphaFold and Geneformer are also available, and Watershed’s platform makes sharing workflows and digging deeper into results easy.
“The platform hits a sweet spot of usability and customizability for people of all backgrounds,” Wang says. “No science is ever truly the same. I avoid the word product because that implies you deploy something and then you just run it at scale forever. Research isn’t like that. Research is about coming up with an idea, testing it, and using the outcome to come up with another idea. The faster you can design, implement, and execute experiments, the faster you can move on to the next one.”
Accelerating biology
Wang believes Watershed is helping biologists keep up with the latest advances in biology and accelerating scientific discovery in the process.
“If you can help scientists unlock insights not a little bit faster, but 10 or 20 times faster, it can really make a difference,” Wang says.
Watershed is being used by researchers in academia and in companies of all sizes. Executives at biotech and pharmaceutical companies also use Watershed to make decisions about new experiments and drug candidates.
“We’ve seen success in all those areas, and the common thread is people understanding research but not being an expert in computer science or software engineering,” Wang says. “It’s exciting to see this industry develop. For me, it’s great being from MIT and now to be back in Kendall Square where Watershed is based. This is where so much of the cutting-edge progress is happening. We’re trying to do our part to enable the future of biology.”
Geologists discover the first evidence of 4.5-billion-year-old “proto Earth” Materials from ancient rocks could reveal conditions in the early solar system that shaped the early Earth and other planets.Scientists at MIT and elsewhere have discovered extremely rare remnants of “proto Earth,” which formed about 4.5 billion years ago, before a colossal collision irreversibly altered the primitive planet’s composition and produced the Earth as we know today. Their findings, reported today in the journal Nature Geosciences, will help scientists piece together the primordial starting ingredients that forged the early Earth and the rest of the solar system.
Billions of years ago, the early solar system was a swirling disk of gas and dust that eventually clumped and accumulated to form the earliest meteorites, which in turn merged to form the proto Earth and its neighboring planets.
In this earliest phase, Earth was likely rocky and bubbling with lava. Then, less than 100 million years later, a Mars-sized meteorite slammed into the infant planet in a singular “giant impact” event that completely scrambled and melted the planet’s interior, effectively resetting its chemistry. Whatever original material the proto Earth was made from was thought to have been altogether transformed.
But the MIT team’s findings suggest otherwise. The researchers have identified a chemical signature in ancient rocks that is unique from most other materials found in the Earth today. The signature is in the form of a subtle imbalance in potassium isotopes discovered in samples of very old and very deep rocks. The team determined that the potassium imbalance could not have been produced by any previous large impacts or geological processes occurring in the Earth presently.
The most likely explanation for the samples’ chemical composition is that they must be leftover material from the proto Earth that somehow remained unchanged, even as most of the early planet was impacted and transformed.
“This is maybe the first direct evidence that we’ve preserved the proto Earth materials,” says Nicole Nie, the Paul M. Cook Career Development Assistant Professor of Earth and Planetary Sciences at MIT. “We see a piece of the very ancient Earth, even before the giant impact. This is amazing because we would expect this very early signature to be slowly erased through Earth’s evolution.”
The study’s other authors include Da Wang of Chengdu University of Technology in China, Steven Shirey and Richard Carlson of the Carnegie Institution for Science in Washington, Bradley Peters of ETH Zürich in Switzerland, and James Day of Scripps Institution of Oceanography in California.
A curious anomaly
In 2023, Nie and her colleagues analyzed many of the major meteorites that have been collected from sites around the world and carefully studied. Before impacting the Earth, these meteorites likely formed at various times and locations throughout the solar system, and therefore represent the solar system’s changing conditions over time. When the researchers compared the chemical compositions of these meteorite samples to Earth, they identified among them a “potassium isotopic anomaly.”
Isotopes are slightly different versions of an element that have the same number of protons but a different number of neutrons. The element potassium can exist in one of three naturally-occurring isotopes, with mass numbers (protons plus neutrons) of 39, 40, and 41, respectively. Wherever potassium has been found on Earth, it exists in a characteristic combination of isotopes, with potassium-39 and potassium-41 being overwhelmingly dominant. Potassium-40 is present, but at a vanishingly small percentage in comparison.
Nie and her colleagues discovered that the meteorites they studied showed balances of potassium isotopes that were different from most materials on Earth. This potassium anomaly suggested that any material that exhibits a similar anomaly likely predates Earth’s present composition. In other words, any potassium imbalance would be a strong sign of material from the proto Earth, before the giant impact reset the planet’s chemical composition.
“In that work, we found that different meteorites have different potassium isotopic signatures, and that means potassium can be used as a tracer of Earth’s building blocks,” Nie explains.
“Built different”
In the current study, the team looked for signs of potassium anomalies not in meteorites, but within the Earth. Their samples include rocks, in powder form, from Greenland and Canada, where some of the oldest preserved rocks are found. They also analyzed lava deposits collected from Hawaii, where volcanoes have brought up some of the Earth’s earliest, deepest materials from the mantle (the planet’s thickest layer of rock that separates the crust from the core).
“If this potassium signature is preserved, we would want to look for it in deep time and deep Earth,” Nie says.
The team first dissolved the various powder samples in acid, then carefully isolated any potassium from the rest of the sample and used a special mass spectrometer to measure the ratio of each of potassium’s three isotopes. Remarkably, they identified in the samples an isotopic signature that was different from what’s been found in most materials on Earth.
Specifically, they identified a deficit in the potassium-40 isotope. In most materials on Earth, this isotope is already an insignificant fraction compared to potassium’s other two isotopes. But the researchers were able to discern that their samples contained an even smaller percentage of potassium-40. Detecting this tiny deficit is like spotting a single grain of brown sand in a bucket rather than a scoop full of of yellow sand.
The team found that, indeed, the samples exhibited the potassium-40 deficit, showing that the materials “were built different,” says Nie, compared to most of what we see on Earth today.
But could the samples be rare remnants of the proto Earth? To answer this, the researchers assumed that this might be the case. They reasoned that if the proto Earth were originally made from such potassium-40-deficient materials, then most of this material would have undergone chemical changes — from the giant impact and subsequent, smaller meteorite impacts — that ultimately resulted in the materials with more potassium-40 that we see today.
The team used compositional data from every known meteorite and carried out simulations of how the samples’ potassium-40 deficit would change following impacts by these meteorites and by the giant impact. They also simulated geological processes that the Earth experienced over time, such as the heating and mixing of the mantle. In the end, their simulations produced a composition with a slightly higher fraction of potassium-40 compared to the samples from Canada, Greenland, and Hawaii. More importantly, the simulated compositions matched those of most modern-day materials.
The work suggests that materials with a potassium-40 deficit are likely leftover original material from the proto Earth.
Curiously, the samples’ signature isn’t a precise match with any other meteorite in geologists’ collections. While the meteorites in the team’s previous work showed potassium anomalies, they aren’t exactly the deficit seen in the proto Earth samples. This means that whatever meteorites and materials originally formed the proto Earth have yet to be discovered.
“Scientists have been trying to understand Earth’s original chemical composition by combining the compositions of different groups of meteorites,” Nie says. “But our study shows that the current meteorite inventory is not complete, and there is much more to learn about where our planet came from.”
This work was supported, in part, by NASA and MIT.
A new system can dial expression of synthetic genes up or downThe promoter editing system could be used to fine-tune gene therapy or to more efficiently reprogram cells for therapeutic use.For decades, synthetic biologists have been developing gene circuits that can be transferred into cells for applications such as reprogramming a stem cell into a neuron or generating a protein that could help treat a disease such as fragile X syndrome.
These gene circuits are typically delivered into cells by carriers such as nonpathogenic viruses. However, it has been difficult to ensure that these cells end up producing the correct amount of the protein encoded by the synthetic gene.
To overcome that obstacle, MIT engineers have designed a new control mechanism that allows them to establish a desired protein level, or set point, for any gene circuit. This approach also allows them to edit the set point after the circuit is delivered.
“This is a really stable and multifunctional tool. The tool is very modular, so there are a lot of transgenes you could control with this system,” says Katie Galloway, an assistant professor in Chemical Engineering at MIT and the senior author of the new study.
Using this strategy, the researchers showed that they could induce cells to generate consistent levels of target proteins. In one application that they demonstrated, they converted mouse embryonic fibroblasts to motor neurons by delivering high levels of a gene that promotes that conversion.
MIT graduate student Sneha Kabaria is the lead author of the paper, which appears today in Nature Biotechnology. Other authors include Yunbeen Bae ’24; MIT graduate students Mary Ehmann, Brittany Lende-Dorn, Emma Peterman, and Kasey Love; Adam Beitz PhD ’25; and former MIT postdoc Deon Ploessl.
Dialing up gene expression
Synthetic gene circuits are engineered to include not only the gene of interest, but also a promoter region. At this site, transcription factors and other regulators can bind, turning on the expression of the synthetic gene.
However, it’s not always possible to get all of the cells in a population to express the desired gene at a uniform level. One reason for that is that some cells may take up just one copy of the circuit, while others receive many more. Additionally, cells have natural variation in how much protein they produce.
That has made reprogramming cells challenging because it’s difficult to ensure that every cell in a population of skin cells, for example, will produce enough of the necessary transcription factors to successfully transition into a new cell identity, such as a neuron or induced pluripotent stem cell.
In the new paper, the researchers devised a way to control gene expression levels by changing the distance between the synthetic gene and its promoter. They found that when there was a longer DNA “spacer” between the promoter region and the gene, the gene would be expressed at a lower level. That extra distance, they showed, makes it less likely that transcription factors bound to the promoter will effectively turn on gene transcription.
Then, to create set points that could be edited, the researchers incorporated sites within the spacer that can be excised by an enzyme called Cre recombinase. As parts of the spacer are cut out, it helps bring the transcription factors closer to the gene of interest, which turns up gene expression.
The researchers showed they could create spacers with multiple excision points, each targeted by different recombinases. This allowed them to create a system called DIAL, that they could use to establish “high,” “med,” “low” and “off” set points for gene expression.
After the DNA segment carrying the gene and its promoter is delivered into cells, recombinases can be added to the cells, allowing the set point to be edited at any time.
The researchers demonstrated their system in mouse and human cells by delivering the gene for different fluorescent proteins and functional genes, and showed that they could get uniform expression across the a population of cells at the target level.
“We achieved uniform and stable control. This is very exciting for us because lack of uniform, stable control has been one of the things that's been limiting our ability to build reliable systems in synthetic biology. When there are too many variables that affect your system, and then you add in normal biological variation, it’s very hard to build stable systems,” Galloway says.
Reprogramming cells
To demonstrate potential applications of the DIAL system, the researchers then used it to deliver different levels of the gene HRasG12V to mouse embryonic fibroblasts. This HRas variant has previously been shown to increase the rate of conversion of fibroblasts to neurons. The MIT team found that in cells that received a higher dose of the gene, a larger percentage of them were able to successfully transform into neurons.
Using this system, researchers now hope to perform more systematic studies of different transcription factors that can induce cells to transition to different cell types. Such studies could reveal how different levels of those factors affect the success rate, and whether changing the transcription factors levels might alter the cell type that is generated.
In ongoing work, the researchers have shown that DIAL can be combined with a system they previously developed, known as ComMAND, that uses a feedforward loop to help prevent cells from overexpressing a therapeutic gene.
Using these systems together, it could be possible to tailor gene therapies to produce specific, consistent protein levels in the target cells of individual patients, the researchers say.
“This is something we’re excited about because both DIAL and ComMAND are highly modular, so you could not only have a well-controlled gene therapy that’s somewhat general for a population, but you could, in theory, tailor it for any given person or any given cell type,” Galloway says.
The research was funded, in part, by the National Institute of General Medical Sciences, the National Science Foundation, and the Institute for Collaborative Biotechnologies.
MIT releases financials and endowment figures for 2025The Institute’s pooled investments returned 14.8 percent last year; endowment stands at $27.4 billion.The Massachusetts Institute of Technology Investment Management Company (MITIMCo) announced today that MIT’s unitized pool of endowment and other MIT funds generated an investment return of 14.8 percent during the fiscal year ending June 30, 2025, as measured using valuations received within one month of fiscal year end. At the end of the fiscal year, MIT’s endowment funds totaled $27.4 billion, excluding pledges. Over the 10 years ending June 30, 2025, MIT generated an annualized return of 10.7 percent.
The endowment is the bedrock of MIT’s finances, made possible by gifts from alumni and friends for more than a century. The use of the endowment is governed by a state law that requires MIT to maintain each endowed gift as a permanent fund, preserve its purchasing power, and spend it as directed by its original donor. Most of the endowment’s funds are restricted and must be used for a specific purpose. MIT uses the bulk of the income these endowed gifts generate to support financial aid, research, and education.
The endowment supports 50 percent of undergraduate tuition, helping to enable the Institute’s need-blind undergraduate admissions policy, which ensures that an MIT education is accessible to all qualified candidates regardless of financial resources. MIT works closely with all families of undergraduates who qualify for financial aid to develop an individual affordability plan tailored to their financial circumstances. In 2024-25, the average need-based MIT undergraduate scholarship was $62,127. Fifty-seven percent of MIT undergraduates received need-based financial aid, and 39 percent of MIT undergraduate students received scholarship funding from MIT and other sources sufficient to cover the total cost of tuition.
Effective in fiscal 2026, MIT enhanced undergraduate financial aid, ensuring that all families with incomes below $200,000 and typical assets have tuition fully covered by scholarships, and that families with incomes below $100,000 and typical assets pay nothing at all for their students’ MIT education. Eighty-eight percent of seniors who graduated in academic year 2025 graduated with no debt.
MITIMCo is a unit of MIT, created to manage and oversee the investment of the Institute’s endowment, retirement, and operating funds.
MIT’s Report of the Treasurer for fiscal year 2025, which details the Institute’s annual financial performance, was made available publicly today.
Ray Kurzweil ’70 reinforces his optimism in tech progressReceiving the Robert A. Muh award, the technologist and author heralded a bright future for AI, breakthroughs in longevity, and more.Innovator, futurist, and author Ray Kurzweil ’70 emphasized his optimism about artificial intelligence, and technological progress generally, in a lecture on Wednesday while accepting MIT’s Robert A. Muh Alumni Award from the School of Humanities, Arts, and Social Sciences (SHASS).
Kurzweil offered his signature high-profile forecasts about how AI and computing will entirely blend with human functionality, and proposed that AI will lead to monumental gains in longevity, medicine, and other realms of life.
“People do not appreciate that the rate of progress is accelerating,” Kurzweil said, forecasting “incredible breakthroughs” over the next two decades.
Kurzweil delivered his lecture, titled “Reinventing Intelligence,” in the Thomas Tull Concert Hall of the Edward and Joyce Linde Music Building, which opened earlier in 2025 on the MIT campus.
The Muh Award was founded and endowed by Robert A. Muh ’59 and his wife Berit, and is one of the leading alumni honors granted by SHASS and MIT. Muh, a life member emeritus of the MIT Corporation, established the award, which is granted every two years for “extraordinary contributions” by alumni in the humanities, arts, and social sciences.
Robert and Berit Muh were both present at the lecture, along with their daughter Carrie Muh ’96, ’97, SM ’97.
Agustín Rayo, dean of SHASS, offered introductory remarks, calling Kurzweil “one of the most prolific thinkers of our time.” Rayo added that Kurzweil “has built his life and career on the belief that ideas change the world, and change it for the better.”
Kurzweil has been an innovator in language recognition technologies, developing advances and founding companies that have served people who are blind or low-vision, and helped in music creation. He is also a best-selling author who has heralded advances in computing capabilities, and even the merging of human and machines.
The initial segment of Kurzweil’s lecture was autobiographical in focus, reflecting on his family and early years. The families of both of Kurzweil’s parents fled the Nazis in Europe, seeking refuge in the U.S., with the belief that people could create a brighter future for themselves.
“My parents taught me the power of ideas can really change the world,” Kurzweil said.
Showing an early interest in how things worked, Kurzweil had decided to become an inventor by about the age of 7, he recalled. He also described his mother as being tremendously encouraging to him as a child. The two would take walks together, and the young Kurzweil would talk about all the things he imagined inventing.
“I would tell her my ideas and no matter how fantastical they were, she believed them,” he said. “Now other parents might have simply chuckled … but she actually believed my ideas, and that actually gave me my confidence, and I think confidence is important in succeeding.”
He became interested in computing by the early 1960s and majored in both computer science and literature as an MIT undergraduate.
Kurzweil has a long-running association with MIT extending far beyond his undergraduate studies. He served as a member of the MIT Corporation from 2005 to 2012 and was the 2001 recipient of the $500,000 Lemelson-MIT Prize, an award for innovation, for his development of reading technology.
“MIT has played a major role in my personal and professional life over the years,” Kurzweil said, calling himself “truly honored to receive this award.” Addressing Muh, he added: “Your longstanding commitment to our alma mater is inspiring.”
After graduating from MIT, Kurzweil launched a successful career developing innovative computing products, including one that recognized text across all fonts and could produce an audio reading. He also developed leading-edge music synthesizers, among many other advances.
In a corresponding part of his career, Kurzweil has become an energetic author, whose best-known books include “The Age of Intelligent Machines” (1990), “The Age of Spiritual Machines” (1999), “The Singularity Is Near” (2005), and “The Singularity Is Nearer” (2024), among many others.
Kurzweil was recently named chief AI officer of Beyond Imagination, a robotics firm he co-founded; he has also held a position at Google in recent years, working on natural language technologies.
In his remarks, Kurzweil underscored his view that, as exemplified and enabled by the growth of computing power over time, technological innovation moves at an exponential pace.
“People don’t really think about exponential growth; they think about linear growth,” Kurzweil said.
This concept, he said, makes him confident that a string of innovations will continue at remarkable speed.
“One of the bigger transformations we’re going to see from AI in the near term is health and medicine,” Kurweil said, forecasting that human medical trials will be replaced by simulated “digital trials.”
Kurzweil also believes computing and AI advances can lead to so many medical advances it will soon produce a drastic improvement in human longevity.
“These incredible breakthroughs are going to lead to what we’ll call longevity escape velocity,” Kurzweil said. “By roughly 2032 when you live through a year, you’ll get back an entire year from scientific progress, and beyond that point you’ll get back more than a year for every year you live, so you’ll be going back into time as far as your health is concerned,” Kurweil said. He did offer that these advances will “start” with people who are the most diligent about their health.
Kurzweil also outlined one of his best-known forecasts, that AI and people will be combined. “As we move forward, the lines between humans and technology will blur, until we are … one and the same,” Kurzweil said. “This is how we learn to merge with AI. In the 2030s, robots the size of molecules will go into our brains, noninvasively, through the capillaries, and will connect our brains directly to the cloud. Think of it like having a phone, but in your brain.”
“By 2045, once we have fully merged with AI, our intelligence will no longer be constrained … it will expand a millionfold,” he said. “This is what we call the singularity.”
To be sure, Kurzweil acknowledged, “Technology has always been a double-edged sword,” given that a drone can deliver either medical supplies or weaponry. “Threats of AI are real, must be taken seriously, [and] I think we are doing that,” he said. In any case, he added, we have “a moral imperative to realize the promise of new technologies while controlling the peril.” He concluded: “We are not doomed to fail to control any of these risks.”
MIT physicists improve the precision of atomic clocks A new method turns down quantum noise that obscures the “ticking” of atoms, and could enable stable, transportable atomic clocks.Every time you check the time on your phone, make an online transaction, or use a navigation app, you are depending on the precision of atomic clocks.
An atomic clock keeps time by relying on the “ticks” of atoms as they naturally oscillate at rock-steady frequencies. Today’s atomic clocks operate by tracking cesium atoms, which tick over 10 billion times per second. Each of those ticks is precisely tracked using lasers that oscillate in sync, at microwave frequencies.
Scientists are developing next-generation atomic clocks that rely on even faster-ticking atoms such as ytterbium, which can be tracked with lasers at higher, optical frequencies. If they can be kept stable, optical atomic clocks could track even finer intervals of time, up to 100 trillion times per second.
Now, MIT physicists have found a way to improve the stability of optical atomic clocks, by reducing “quantum noise” — a fundamental measurement limitation due to the effects of quantum mechanics, which obscures the atoms’ pure oscillations. In addition, the team discovered that an effect of a clock’s laser on the atoms, previously considered irrelevant, can be used to further stabilize the laser.
The researchers developed a method to harness a laser-induced “global phase” in ytterbium atoms, and have boosted this effect with a quantum-amplification technique. The new approach doubles the precision of an optical atomic clock, enabling it to discern twice as many ticks per second compared to the same setup without the new method. What’s more, they anticipate that the precision of the method should increase steadily with the number of atoms in an atomic clock.
The researchers detail the method, which they call global phase spectroscopy, in a study appearing today in the journal Nature. They envision that the clock-stabilizing technique could one day enable portable optical atomic clocks that can be transported to various locations to measure all manner of phenomena.
“With these clocks, people are trying to detect dark matter and dark energy, and test whether there really are just four fundamental forces, and even to see if these clocks can predict earthquakes,” says study author Vladan Vuletić, the Lester Wolfe Professor of Physics at MIT. “We think our method can help make these clocks transportable and deployable to where they’re needed.”
The paper’s co-authors are Leon Zaporski, Qi Liu, Gustavo Velez, Matthew Radzihovsky, Zeyang Li, Simone Colombo, and Edwin Pedrozo-Peñafiel, who are members of the MIT-Harvard Center for Ultracold Atoms and the MIT Research Laboratory of Electronics.
Ticking time
In 2020, Vuletić and his colleagues demonstrated that an atomic clock could be made more precise by quantumly entangling the clock’s atoms. Quantum entanglement is a phenomenon by which particles can be made to behave in a collective, highly correlated manner. When atoms are quantumly entangled, they redistribute any noise, or uncertainty in measuring the atoms’ oscillations, in a way that reveals a clearer, more measurable “tick.”
In their previous work, the team induced quantum entanglement among several hundred ytterbium atoms that they first cooled and trapped in a cavity formed by two curved mirrors. They sent a laser into the cavity, which bounced thousands of times between the mirrors, interacting with the atoms and causing the ensemble to entangle. They were able to show that quantum entanglement could improve the precision of existing atomic clocks by essentially reducing the noise, or uncertainty between the laser’s and atoms’ tick rates.
At the time, however, they were limited by the ticking instability of the clock’s laser. In 2022, the same team derived a way to further amplify the difference in laser versus atom tick rates with “time reversal” — a trick that relies on entangling and de-entangling the atoms to boost the signal acquired in between.
However, in that work the team was still using traditional microwaves, which oscillate at much lower frequencies than the optical frequency standards ytterbium atoms can provide. It was as if they had painstakingly lifted a film of dust off a painting, only to then photograph it with a low-resolution camera.
“When you have atoms that tick 100 trillion times per second, that’s 10,000 times faster than the frequency of microwaves,” Vuletić says. “We didn’t know at the time how to apply these methods to higher-frequency optical clocks that are much harder to keep stable.”
About phase
In their new study, the team has found a way to apply their previously developed approach of time reversal to optical atomic clocks. They then sent in a laser that oscillates near the optical frequency of the entangled atoms.
“The laser ultimately inherits the ticking of the atoms,” says first author Zaporski. “But in order for this inheritance to hold for a long time, the laser has to be quite stable.”
The researchers found they were able to improve the stability of an optical atomic clock by taking advantage of a phenomenon that scientists had assumed was inconsequential to the operation. They realized that when light is sent through entangled atoms, the interaction can cause the atoms to jump up in energy, then settle back down into their original energy state and still carry the memory about their round trip.
“One might think we’ve done nothing,” Vuletić says. “You get this global phase of the atoms, which is usually considered irrelevant. But this global phase contains information about the laser frequency.”
In other words, they realized that the laser was inducing a measurable change in the atoms, despite bringing them back to the original energy state, and that the magnitude of this change depends on the laser’s frequency.
“Ultimately, we are looking for the difference of laser frequency and the atomic transition frequency,” explains co-author Liu. “When that difference is small, it gets drowned by quantum noise. Our method amplifies this difference above this quantum noise.”
In their experiments, the team applied this new approach and found that through entanglement they were able to double the precision of their optical atomic clock.
“We saw that we can now resolve nearly twice as small a difference in the optical frequency or, the clock ticking frequency, without running into the quantum noise limit,” Zaporski says. “Although it’s a hard problem in general to run atomic clocks, the technical benefits of our method it will make it easier, and we think this can enable stable, transportable atomic clocks.”
This research was supported, in part, by the U.S. Office of Naval Research, the National Science Foundation, the U.S. Defense Advanced Research Projects Agency, the U.S. Department of Energy, the U.S. Office of Science, the National Quantum Information Science Research Centers, and the Quantum Systems Accelerator.
Uncovering new physics in metals manufacturingMIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.For decades, it’s been known that subtle chemical patterns exist in metal alloys, but researchers thought they were too minor to matter — or that they got erased during manufacturing. However, recent studies have shown that in laboratory settings, these patterns can change a metal’s properties, including its mechanical strength, durability, heat capacity, radiation tolerance, and more.
Now, researchers at MIT have found that these chemical patterns also exist in conventionally manufactured metals. The surprising finding revealed a new physical phenomenon that explains the persistent patterns.
In a paper published in Nature Communications today, the researchers describe how they tracked the patterns and discovered the physics that explains them. The authors also developed a simple model to predict chemical patterns in metals, and they show how engineers could use the model to tune the effect of such patterns on metallic properties, for use in aerospace, semiconductors, nuclear reactors, and more.
“The conclusion is: You can never completely randomize the atoms in a metal. It doesn’t matter how you process it,” says Rodrigo Freitas, the TDK Assistant Professor in the Department of Materials Science and Engineering. “This is the first paper showing these non-equilibrium states that are retained in the metal. Right now, this chemical order is not something we’re controlling for or paying attention to when we manufacture metals.”
For Freitas, an early-career researcher, the findings offer vindication for exploring a crowded field that he says few believed would lead to unique or broadly impactful results. He credits the U.S. Air Force Office of Scientific Research, which supported the work through their Young Investigator Program. He also credits the collaborative effort that enabled the paper, which features three MIT PhD students as co-first authors: Mahmudul Islam, Yifan Cao, and Killian Sheriff.
“There was the question of whether I should even be tackling this specific problem because people have been working on it for a long time,” Freitas says. “But the more I learned about it, the more I saw researchers were thinking about this in idealized laboratory scenarios. We wanted to perform simulations that were as realistic as possible to reproduce these manufacturing processes with high fidelity. My favorite part of this project is how non-intuitive the findings are. The fact that you cannot completely mix something together, people didn’t see that coming.”
From surprises to theories
Freitas’ research team began with a practical question: How fast do chemical elements mix during metal processing? Conventional wisdom held that there’s a point where the chemical composition of metals becomes completely uniform from mixing during manufacturing. By finding that point, the researchers thought they could develop a simple way to design alloys with different levels of atomic order, also known as short-range order.
The researchers used machine-learning techniques to track millions of atoms as they moved and rearranged themselves under conditions that mimicked metal processing.
“The first thing we did was to deform a piece of metal,” Freitas explains. “That’s a common step during manufacturing: You roll the metal and deform it and heat it up again and deform it a little more, so it develops the structure you want. We did that and we tracked chemical order. The thought was as you deform the material, its chemical bonds are broken and that randomizes the system. These violent manufacturing processes essentially shuffle the atoms.”
The researchers hit a snag during the mixing process: The alloys never reached a fully random state. That was a surprise, because no known physical mechanism could explain the result.
“It pointed to a new piece of physics in metals,” the researchers write in the paper. “It was one of those cases where applied research led to a fundamental discovery.”
To uncover the new physics, the researchers developed computational tools, including high-fidelity machine-learning models, to capture atomic interactions, along with new statistical methods that quantify how chemical order changes over time. They then applied these tools in large-scale molecular dynamics simulations to track how atoms rearrange during processing.
The researchers found some standard chemical arrangements in their processed metals, but at higher temperatures than would normally be expected. Even more surprisingly, they found completely new chemical patterns never seen outside of manufacturing processes. This was the first time such patterns were observed. The researchers referred to the patterns as “far-from-equilibrium states.”
The researchers also built a simple model that reproduced key features of the simulations. The model explains how the chemical patterns arise from defects known as dislocations, which are like three-dimensional scribbles within a metal. As the metal is deformed, those scribbles warp, shuffling nearby atoms along the way. Previously, researchers believed that shuffling completely erased order in the metals, but they found that dislocations favor some atomic swaps over others, resulting not in randomness but in subtle patterns that explain their findings.
“These defects have chemical preferences that guide how they move,” Freitas says. “They look for low energy pathways, so given a choice between breaking chemical bonds, they tend to break the weakest bonds, and it’s not completely random. This is very exciting because it’s a non-equilibrium state: It’s not something you’d see naturally occurring in materials. It’s the same way our bodies live in non-equilibrium. The temperature outside is always hotter or colder than our bodies, and we’re maintaining that steady state equilibrium to stay alive. That’s why these states exist in metal: the balance between an internal push toward disorder plus this ordering tendency of breaking certain bonds that are always weaker than others.”
Applying a new theory
The researchers are now exploring how these chemical patterns develop across a wide range of manufacturing conditions. The result is a map that links various metal processing steps to different chemical patterns in metal.
To date, this chemical order and the properties they tune have been largely considered an academic subject. With this map, the researchers hope engineers can begin thinking of these patterns as levers in design that can be pulled during production to get new properties.
“Researchers have been looking at the ways these atomic arrangements change metallic properties — a big one is catalysis,” Freitas says of the process that drives chemical reactions. “Electrochemistry happens at the surface of the metal, and it’s very sensitive to local atomic arrangements. And there have been other properties that you wouldn't think would be influenced by these factors. Radiation damage is another big one. That affects these materials’ performance in nuclear reactors.”
Researchers have already told Freitas the paper could help explain other surprise findings about metallic properties, and he’s excited for the field to move from fundamental research into chemical order to more applied work.
“You can think of areas where you need very optimized alloys like aerospace,” Freitas says. “They care about very specific compositions. Advanced manufacturing now makes it possible to combine metals that normally wouldn’t mix through deformation. Understanding how atoms actually shuffle and mix in those processes is crucial, because it’s the key to gaining strength while still keeping the low density. So, this could be a huge deal for them.”
This work was supported, in part, by the U.S. Air Force Office of Scientific Research, MathWorks, and the MIT-Portugal Program.
Engineered “natural killer” cells could help fight cancerA new study identifies genetic modifications that make these immune cells, known as CAR-NK cells, more effective at destroying cancer cells.One of the newest weapons that scientists have developed against cancer is a type of engineered immune cell known as CAR-NK (natural killer) cells. Similar to CAR-T cells, these cells can be programmed to attack cancer cells.
MIT and Harvard Medical School researchers have now come up with a new way to engineer CAR-NK cells that makes them much less likely to be rejected by the patient’s immune system, which is a common drawback of this type of treatment.
The new advance may also make it easier to develop “off-the-shelf” CAR-NK cells that could be given to patients as soon as they are diagnosed. Traditional approaches to engineering CAR-NK or CAR-T cells usually take several weeks.
“This enables us to do one-step engineering of CAR-NK cells that can avoid rejection by host T cells and other immune cells. And, they kill cancer cells better and they’re safer,” says Jianzhu Chen, an MIT professor of biology, a member of the Koch Institute for Integrative Cancer Research,and one of the senior authors of the study.
In a study of mice with humanized immune systems, the researchers showed that these CAR-NK cells could destroy most cancer cells while evading the host immune system.
Rizwan Romee, an associate professor of medicine at Harvard Medical School and Dana-Farber Cancer Institute, is also a senior author of the paper, which appears today in Nature Communications. The paper’s lead author is Fuguo Liu, a postdoc at the Koch Institute and a research fellow at Dana-Farber.
Evading the immune system
NK cells are a critical part of the body’s natural immune defenses, and their primary responsibility is to locate and kill cancer cells and virus-infected cells. One of their cell-killing strategies, also used by T cells, is a process called degranulation. Through this process, immune cells release a protein called perforin, which can poke holes in another cell to induce cell death.
To create CAR-NK cells to treat cancer patients, doctors first take a blood sample from the patient. NK cells are isolated from the sample and engineered to express a protein called a chimeric antigen receptor (CAR), which can be designed to target specific proteins found on cancer cells.
Then, the cells spend several weeks proliferating until there are enough to transfuse back into the patient. A similar approach is also used to create CAR-T cells. Several CAR-T cell therapies have been approved to treat blood cancers such as lymphoma and leukemia, but CAR-NK treatments are still in clinical trials.
Because it takes so long to grow a population of engineered cells that can be infused into the patient, and those cells may not be as viable as cells that came from a healthy person, researchers are exploring an alternative approach: using NK cells from a healthy donor.
Such cells could be grown in large quantities and would be ready whenever they were needed. However, the drawback to these cells is that the recipient’s immune system may see them as foreign and attack them before they can start killing cancer cells.
In the new study, the MIT team set out to find a way to help NK cells “hide” from a patient’s immune system. Through studies of immune cell interactions, they showed that NK cells could evade a host T-cell response if they did not carry surface proteins called HLA class 1 proteins. These proteins, usually expressed on NK cell surfaces, can trigger T cells to attack if the immune system doesn’t recognize them as “self.”
To take advantage of this, the researchers engineered the cells to express a sequence of siRNA (short interfering RNA) that interferes with the genes for HLA class 1. They also delivered the CAR gene, as well as the gene for either PD-L1 or single-chain HLA-E (SCE). PD-L1 and SCE are proteins that make NK cells more effective by turning up genes that are involved in killing cancer cells.
All of these genes can be carried on a single piece of DNA, known as a construct, making it simple to transform donor NK cells into immune-evasive CAR-NK cells. The researchers used this construct to create CAR-NK cells targeting a protein called CD-19, which is often found on cancerous B cells in lymphoma patients.
NK cells unleashed
The researchers tested these CAR-NK cells in mice with a human-like immune system. These mice were also injected with lymphoma cells.
Mice that received CAR-NK cells with the new construct maintained the NK cell population for at least three weeks, and the NK cells were able to nearly eliminate cancer in those mice. In mice that received either NK cells with no genetic modifications or NK cells with only the CAR gene, the host immune cells attacked the donor NK cells. In these mice, the NK cells died out within two weeks, and the cancer spread unchecked.
The researchers also found that these engineered CAR-NK cells were much less likely to induce cytokine release syndrome — a common side effect of immunotherapy treatments, which can cause life-threatening complications.
Because of CAR-NK cells’ potentially better safety profile, Chen anticipates that they could eventually be used in place of CAR-T cells. For any CAR-NK cells that are now in development to target lymphoma or other types of cancer, it should be possible to adapt them by adding the construct developed in this study, he says.
The researchers now hope to run a clinical trial of this approach, working with colleagues at Dana-Farber. They are also working with a local biotech company to test CAR-NK cells to treat lupus, an autoimmune disorder that causes the immune system to attack healthy tissues and organs.
The research was funded, in part, by Skyline Therapeutics, the Koch Institute Frontier Research Program through the Kathy and Curt Marble Cancer Research Fund and the Elisa Rah (2004, 2006) Memorial Fund, the Claudia Adams Barr Foundation, and the Koch Institute Support (core) Grant from the National Cancer Institute.