Three 91���� faculty members��have been elected to the American Academy of Arts and Sciences. Their work spans environmental science,��computing��and engineering, addressing challenges ranging from climate resilience and ecosystem sustainability to artificial intelligence and accessible healthcare technologies.��

Founded in 1780, the����recognizes leaders across disciplines whose work advances research, public policy��and the common good. The Academy elects��roughly 250��members each year.��

,��91������professor��in��the School of Aquatic and Fishery Sciences, was��elected��for research on how climate change,��urbanization, and��land use affect freshwater ecosystems and fisheries.��

Schindler’s work focuses on salmon habitats, watershed health��and ecosystem resilience in Alaska and the Pacific Northwest, helping scientists better understand how environmental change affects ecosystems, wildlife��and communities that rely on fisheries.��

“I’m deeply honored by the recognition,” Schindler said. “I’m also grateful for the colleagues and students at the 91���� whose��curiosity��and camaraderie have made our science impactful and genuinely fun.”��

,��professor of computer science and engineering and��director of the Allen��School,��was elected��for��contributions to data management and data science,��as well as her leadership roles at 91���� and nationally.��

Balazinska��develops data management systems and techniques��to help users across domains process complex and large datasets more efficiently and more easily, including tabular data, images and videos,��content��generated by��artificial intelligence,��and scientific datasets. Her work has included systems for cloud analytics, stream��processing, and video��analysis��among others.������

Balazinska��said joining the Academy��shows��how far science and engineering have come, while also��highlighting future��opportunities that will��arise as AI reshapes research and discovery.��

“AI has the potential to accelerate progress in ways I couldn’t have imagined at the start of my career,” she said.��

, professor in the��Allen School��and the��Department of Electrical & Computer Engineering, was��elected��for research in ubiquitous computing, human-computer��interaction��and sensor-enabled systems.��

Patel develops technologies that use smartphones,��sensors��and machine learning to expand access to healthcare and improve sustainability. His work includes smartphone-based health screening tools designed to improve access to care, as well as technologies that help households��monitor��energy and water use more efficiently.��

Several technologies developed by Patel and his students have been commercialized through startups and later adopted by major companies, including Google.��

Patel said he was “humbled and honored” by the recognition and��wants it to encourage��broader thinking about the role of applied computing research.��

“I hope this serves as a catalyst for others to embrace a broader, more practical perspective on what computing can achieve for society,” he said.��

Two current 91���� graduate students and one recent alumnus received this year’s prestigious .

This merit-based program supports outstanding immigrants and children of immigrants pursuing graduate education in the United States. were selected this year from a competitive pool of more than 3,000 applicants nationwide. Their remarkable contributions and potential span a range of fields, including medicine, law, engineering, literature, computer science, public service and the arts.

“Having three members of the 91���� community receive Paul & Daisy Soros Fellowships for New Americans is a remarkable honor,” said 91���� President Robert J. Jones. “This fellowship recognizes immigrants and the children of immigrants whose work strengthens communities and advances knowledge, which aligns closely with the University’s mission and values. The accomplishments of these scholars speak to the 91����’s commitment to expanding opportunity, advancing research and discovery, and serving the public good. We’re very proud to see their achievements acknowledged.”

Fellows will receive up to $90,000 for their graduate studies, as well as lifelong access to the fellowship’s distinguished alumni network.

This year’s ��fellows are Daniel G. Chen, Class of ’22, who received both a Marshall Scholarship and a Goldwater Scholarship, and is now pursuing a doctoral degree at the University of California, Los Angeles; Briana Martin-Villa, a doctoral student in the 91���� School of Medicine; and Ethan Shen, a doctoral student in the Paul G. Allen School of Computer Science & Engineering.

Chen is the son of Chinese immigrants who came to the 91���� at 14 via the Robinson Center for Young Scholars. While at the 91����, Chen interned with Meta’s Facebook AI Research team and he interviewed people from Greece with 91����’s International Studies Department. He also conducted research at the Institute of Systems Biology and the Fred Hutchinson Cancer Center to identify drivers of the human immune response to COVID-19 and solid tumors in skin, lung and pancreatic tissue.

Chen’s 91���� education was supported by the Washington Research Foundation and the Goldwater Scholarship. The Marshall Scholarship enabled Chen to continue his research at the University of Cambridge where he studied the athymic organoid system. That work led him to pursue a doctoral degree at UCLA where he aims to develop new lines of therapy that increase immunotherapy efficacy while minimizing off-target side effects.

“I am deeply grateful to the Soros Foundation for this honor. The financial support afforded to me by the Paul & Daisy Soros Fellowship provides me the time and space to investigate new therapeutic strategies to overcome existing and future barriers to cancer immunotherapy,” Chen said.

Martin-Villa, now a first-year student at the 91���� School of Medicine, experienced rural health disparities firsthand earlier in her life when she, her twin brother and their mother worked long days in orchards in Eastern Washington. She witnessed the effects of heat, physical strain, pesticides and untreated illnesses on farm workers and was compelled to make medical advances more accessible after training in Stanford University research labs as an undergraduate.

Martin-Villa co-developed programs to improve communications between Latine childhood cancer survivors and clinicians. After graduation, she was named a at the White House Office of Science and Technology Policy. During the fellowship, she worked on the Biden Cancer Moonshot and initiatives to increase community engagement in science. She was drawn to the 91���� School of Medicine because of its WWAMI model of community-based training in rural and urban areas across a five-state region. She now co-leads Doctor for a Day, an academy that introduces youth to health careers. She also co-manages the Casa Latina Clinic, which cares for King County’s medically underserved communities. She hopes to practice as a physician at the intersection of patient care, research and public policy.

“As the daughter of Mexican immigrants, it is a profound honor to represent my community and to receive support that allows me to continue doing the work I love while creating opportunities to uplift others,” Martin-Villa said. “I’m excited to learn from and grow alongside the other fellows as I continue my medical training.”

Shen is a doctoral student in the Paul G. Allen School of Computer Science & Engineering advised by Professor Ali Farhadi. Shen was born in Seattle to parents who emigrated from China after the Cultural Revolution and the 1989 Tiananmen crackdown. In the U.S., they had the freedom to pursue their education and better their lives. Shen was inspired by his parents’ story and his experience growing up in a city with a booming technology industry that improved people’s quality of life.

Shen decided to study computer science at the 91���� with a focus on artificial intelligence. He completed his bachelor’s within three years and continued into the Allen School’s doctoral program, where his research advances affordable, open-source coding agents such as SERA — short for Soft-Verified Efficient Repository Agents — that enable rapid creation of specialized agents for private codebases. With the support of the Soros Fellowship, Shen will continue working on agents for long horizon tasks and scientific discovery, as well as novel model architectures, with the goal of making frontier intelligence accessible and useful to as many people as possible.

“Artificial intelligence is increasingly privatized, and the best AI models are prohibitively expensive. My research focuses on developing new data pipelines and model architectures for cheap, personalized models that are both capable and broadly accessible,” Shen said. “AI has become an essential tool across engineering, computing and the natural sciences, and I believe that everyone should be able to afford and use it.”

Micropantries — commonly called “little free pantries”�� — and community fridges are a frequent sight throughout Seattle and the greater Puget Sound region. One estimate suggests that they supply around 4 million pounds of food per year to neighbors in need in the Seattle area, more than the state’s largest food bank. The curbside cupboards are a decentralized, community-driven effort to fight food insecurity and reduce food waste at the neighborhood level, but their ad hoc nature limits their dependability — users don’t know when food is available without repeatedly checking, and donors don’t know what foods are needed most.

Now, anyone who interacts with micropantries or community fridges in the Seattle area can try out an experimental app, made by 91���� researchers, that brings a suite of new features to the micropantry network. , maps many local pantries across the region. The app also gives each pantry an activity feed where users can share food they’ve donated, report on stock levels, add requests to a wish list, post photos and leave other notes. The research team also retrofitted some pantries with sensors that anonymously auto-report their usage and stock levels to the app in real time.

“This is an effort to document and quantify the phenomenon of micropantries,” said , a senior research scientist at the 91���� . “Lots of micropantries and community fridges popped up around the time of the COVID-19 pandemic, and I was curious about who uses them and how they are used.”

The team was cognizant of privacy concerns and designed the smart pantry tech accordingly.

“Putting cameras in the pantries could give us a lot of information about what specific foods are moving through the system, but that may also deter users who are concerned about privacy,” said , a 91���� doctoral student in the Paul G. Allen School of Computer Science & Engineering who designed and built the sensor suite. “Instead, we settled on simpler sensors that measure weight and interactions like opening the door to measure stock levels while preserving everyone’s anonymity.”

The researchers hope that neighbors will find new ways to connect and help one another through these tools. A user might see that stock levels are low in a nearby pantry, for example, and decide to add some food. Another user might request certain foods to accommodate their dietary restrictions.��

The sensor-equipped pantries are a small subset of the dozens of pantries throughout Seattle, but in addition to providing some neighborhoods with enhanced food tracking, they will generate aggregate data that will help Dalla Chiara’s team study donor and usage behavior. Dalla Chiara also plans to survey donors to learn more about what motivates people to provide food to pantries.

“We know that there is a lot of food insecurity in Seattle and in the United States in general,” Dalla Chiara said. “But we know that there is also a lot of food waste — lots of people have a surplus of food. And we want to see how grassroots efforts like micropantries can address both food insecurity and waste at the same time.”

Dalla Chiara and his team recently completed a refit on a cold, sleeting March day at a pantry owned by Saint Paul’s Episcopal Church near Seattle Center. The church keeps the pantry regularly stocked, and rector Stephen Crippen is curious about the data the new system will produce.

“It puts numbers on what we’re actually accomplishing,” Crippen said. “It helps us get in touch with what’s going on on this street.”

The research team is also working with local businesses and nonprofits to encourage and track food distribution throughout the pantry network. In April, Seattle-based recycling startup ran a nonperishable food drive across Seattle and delivered 25,000 pounds of food to the ; from there, volunteers from the Cascade Bicycle Club’s distributed the food to micropantries around the city by bike, giving the network an infusion of both food and usage data. The and the nonprofit helped support the project’s community fridges effort.

Dalla Chiara recognizes that there are other grassroots online, and he doesn’t want his app to replace those services. Nor does he expect the smart pantry network to remain in service indefinitely — it costs about $150 to retrofit each pantry with sensors, and all that tech will be difficult to maintain after the study concludes in October of this year. At its core, the project is an effort to learn about micropantry usage and explore how technology might encourage sharing of resources and mutual aid systems.

“We’re trying to measure and quantify goodwill,” Dalla Chiara said. “Behind each little free pantry there is a whole system of behaviors — people trying to help one another. If we can understand that system better, we can support it better.”

Other 91���� collaborators include , professor of civil and environmental engineering and director of the Urban Freight Lab; , assistant teaching professor of environmental and occupational health sciences; , assistant professor of food systems, nutrition and health; and , assistant professor in the Allen School.

For more information, contact Dalla Chiara at giacomod@uw.edu.

Even though he wanted to bike commute from his Capitol Hill home to the 91����, Jared Hwang often took transit because he struggled to find a good bike route. Apps like Google Maps and Strava might suggest hilly, busy streets simply because they have bike lanes. He even headed to Reddit to crowdsource ideas.��

“I was like, surely, this cannot be the best way to do things,” said , a 91���� doctoral student in the Paul G. Allen School of Computer Science & Engineering. “This data is out there. We know where bike lanes are, what the roads are like, what the speed limits are. We should be able to easily access all this information at once.”

So Hwang and a team of 91���� researchers built , a demo web app that lets users find personalized bike routes in Seattle. Cyclists plug in their origin and destination — just like in other mapping apps — and can then create personalized routes by adjusting eight sliders.����

Researchers initially worked with four participants to understand how cyclists tend to plan their routes. Based on that, they built a prototype of BikeButler. For the basic street layout and other info, they pulled data from OpenStreetMap and government data sets. But those didn’t have information on more subjective qualities.��

For those, researchers turned to Google Street View. They used a visual language model, or VLM — a type of artificial intelligence — to analyze street images and rate subjective attributes like greenery and pavement quality. The team had the VLM rate the level of greenery on streets and then compared this with two researchers’ ratings. The humans agreed with each other about as much as they agreed with the VLM — about 60% of the time. Future research might try to gather individual users’ greenery preferences to offset this discrepancy.��

Once they’d mapped most of Seattle, the team tested the prototype with 16 participants.��

“Overall the response was really positive,” Hwang said. “We found that people do, in fact, have contextual preferences. A cyclist riding for fun on a Saturday might want a safer, greener route compared with their fast work commute. People intuitively know this, but it hadn’t been established through research.”��

Researchers say future work might integrate feedback from the user study, such as the ability to drag routes to change them slightly and an option to take fewer turns. The team is currently studying how to quantify cyclists’ preferences around intersections and turns.

The researchers note that the quality of BikeButler’s recommendations is constrained by the recency and accuracy of the data it uses. For instance, a new bike lane might not yet appear on a map, or it could appear in OpenStreetMap but not Google Street View. Also, since the team planned this as a proof of concept, BikeButler is limited to Seattle, though it could be expanded to other areas.��

“I’m a lifelong biker and bike commuter,” said senior author , a 91���� professor in the Allen School. “What excites me most about Jared’s work is how it points to a future where we receive route choices individualized to our preferences. So whether I’m biking with my two young children, or riding for groceries, I can find a route for that context.”

Co-authors include , a student at Issaquah High School and intern in the Allen School; , a 91���� doctoral student in urban design and planning; and , a 91���� student in the Allen School. This study was supported by the National Science Foundation.

For more information, contact Hwang at jaredhwa@cs.washington.edu.

91���� researchers developed the first system that incorporates tiny cameras in off-the-shelf wireless earbuds to allow users to talk with an AI model about the scene in front of them. For instance, a user might turn to a Korean food package and say, “Hey Vue, translate this for me.” They’d then hear an AI voice say, “The visible text translates to ‘Cold Noodles’ in English.”

The prototype system called VueBuds takes low-resolution, black-and-white images, which it transmits over Bluetooth to a phone or other nearby device. A small artificial intelligence model on the device then answers questions about the images within around a second. For privacy, all of the processing happens on the device, a small light turns on when the system is recording, and users can immediately delete images.��

The team will April 14 at the Association for Computing Machinery Conference on Human Factors in Computing Systems in Barcelona.��

“We haven’t seen most people adopt smart glasses or VR headsets, in part because a lot of people don’t like wearing glasses, and they often come with , such as recording high-resolution video and processing it in the cloud,” said senior author , a 91���� professor in the Paul G. Allen School of Computer Science & Engineering. “But almost everyone wears earbuds already, so we wanted to see if we could put visual intelligence into tiny, low-power earbuds, and also address privacy concerns in the process.”

Cameras use far more power than the microphones already in earbuds, so using the same sort of high-res cameras as those in smart glasses wouldn’t work. Also, large amounts of information can’t stream continuously over Bluetooth, so the system can’t run continuous video.��

The team found that using a low-power camera — roughly the size of a grain of rice — to shoot low-resolution, black-and-white still images limited battery drain and allowed for Bluetooth transmission while preserving performance.

There was also the matter of placement.��

“One big question we had was: Will your face obscure the view too much? Can earbud cameras capture the user’s view of the world reliably?” said lead author , who completed this work as a 91���� doctoral student in the Allen School.��

The team found that angling each camera 5-10 degrees outward provides a 98-108 degree field of view. While this creates a small blind spot when objects are held closer than 20 centimeters from the user, people rarely hold things that close to examine them — making it a non-issue for typical interactions.

Sixteen participants also wore VueBuds and tested the system’s ability to translate and answer basic questions about objects. VueBuds achieved 83-84% accuracy when translating or identifying objects and 93% when identifying the author and title of a book.

This study was designed to gauge the feasibility of integrating cameras in wireless earbuds. Since the system only takes grayscale images, it can’t answer questions that involve color in the scene.��

The team wants to add color to the system — color cameras require more power — and to train specialized AI models for specific use cases, such as translation.����

“This study lets us glimpse what’s possible just using a general purpose language model and our wireless earbuds with cameras,” Kim said. “But we’d like to study the system more rigorously for applications like reading a book — for people who have low vision or are blind, for instance — or translating text for travelers.”��

Co-authors include , a 91���� master’s student in the Allen School, and , , , and , all 91���� students in electrical and computer engineering.��

For more information, contact vuebuds@cs.washington.edu.

UPDATE April 7, 2026:��The original version of this story omitted two 91���� programs that were included in the rankings: Occupational Therapy (Tied for 20th) and Physical Therapy (Tied for 31st).��

The 91����’s graduate and professional degree programs again were recognized as among the best in the nation, according to .

Topping this year’s list include programs at the Evans School of Public Policy & Governance, the School of Public Health, the School of Nursing, the Paul G. Allen School of Computer Science & Engineering in the College of Engineering and the College of Education. The College of Arts & Sciences and the College of the Environment also had top-rated programs.

In total, 81 graduate and professional degree programs across the 91���� placed in the top 35 in this year’s U.S. News rankings.

“These rankings highlight the strength and impact of the 91����’s graduate and professional programs,” said 91���� President Robert J. Jones. “These programs equip students with the skills and knowledge to meet critical workforce needs and serve society, while demonstrating the power of higher education to advance the public good. We are proud to foster an environment where students and faculty can thrive and have a real impact on the world around them.”

While the 91���� celebrates the success and impact of the programs recognized by U.S. News — and notes that many applicants use these rankings to help them select schools and discover potential areas of study — the University also recognizes shortcomings inherent in the ranking systems.

The 91���� School of Law and the 91���� School of Medicine withdrew from the U.S. News rankings in 2022 and 2023, respectively, citing concerns that some of the methodology in the rankings for those specific disciplines incentivize actions and policies that run counter to the schools’ public service missions.

91���� leaders continue to work with U.S. News and other ranking organizations to improve their methodologies, to the extent that the organizations are open to it. Schools, colleges and departments continually reevaluate the benefits and potential shortfalls of participating in specific rankings.

Excluding the School of Law and the School of Medicine, 29 91���� programs placed in the top 10, and 81 are in the top 35.

��The 91���� this year placed in the top 10 nationwide in public affairs, biostatistics,�� nursing, computer science, education, psychology, speech and language pathology, statistics and Earth sciences.

The 91����’s Evans School of Public Policy & Governance has maintained its top-10 ranking for more than a decade and tied for fifth in the nation this year. The Evans School’s environmental policy program was ranked second, while public finance and budgeting as well as leadership both ranked No. 10.

The 91���� School of Nursing’s doctor of nursing practice program tied for No. 1 among public institutions. The School of Public Health has maintained its top-10 ranking for more than a decade, coming in this year at No. 9. The school also had three programs in the top 10: biostatistics, environmental health sciences and epidemiology.��

The 91����’s programs in speech and language pathology tied for No. 6.�� Two programs from the College of Education placed in the top 10. And the Paul G. Allen School of Computer Science & Engineering this year tied for seventh place overall with three programs ranked in the top 10, including artificial intelligence, programming language and systems.

U.S. News ranks biostatistics in two ways. 91���� ranked No. 3 as a science discipline that applies statistical theory and mathematical principles to research in medicine, biology, environmental science, public health and related fields. 91����’s School of Public Health ranked No. 7 in biostatistics as an area of study that trains students to apply statistical principles and methods to problems in health sciences, medicine and biology. At the 91����, biostatistics is a division of the School of Public Health.

In some cases, such as the College of Arts & Science and the Foster School of Business, U.S. News ranks several professional disciplines housed within academic units. Programs in dentistry are not ranked.��

The rankings below are based on preliminary data and may be updated. relies on both expert opinions and statistical indicators.

TOP 10:

Library and Information Studies (overall): Two-way tie for 1st (ranked in 2025)

Public Affairs (environmental policy): 2nd

Library and information studies (digital librarianship): Two-way for 2nd (ranked in 2022)

Library and Information Studies (information systems): 2nd (ranked in 2022)

Biostatistics: 3rd

Physics (nuclear): Two-way tie for 3rd (ranked in 2024)

Nurse practitioner (doctor of nursing practice): Four-way tie for 4th

Evans School of Public Policy & Governance (overall): Four-way tie for 5th

Library and Information Studies (library services for children and youth): Two-way for 5th (ranked in 2022)

Computer science (systems): Tied for 6th

Education (elementary education): 6th

Psychology (clinical): Three-way tie for 6th

Speech-language pathology: Five-way tie for 6th

Statistics: Four-way tie for 6th

Public Health (biostatistics): 7th

Computer science (overall): Three-way tie for 7th

Computer science (programming language): Tied for 7th

Education (secondary education): 7th

Nursing (midwifery): Five-way tie for 7th

Public Health (environmental health sciences): 7th

School of Social Work (overall): 7th (ranked in 2025)

Public Health (epidemiology): 8th

Computer science (artificial intelligence): 9th

Earth sciences: Tied for 9th��

Geophysics: Three-way tie for 9th (ranked in 2024)

Public Affairs (nonprofit management): 9th

School of Public Health (overall): Tied for 9th

Public Affairs (public finance and budgeting): 10th

Public Affairs (public management and leadership): 10th

TOP 25:

Biological sciences: Five-way tie for 16th

Business (accounting): 10-way tie for 16th

Business (entrepreneurship): Five-way tie for 17th

Business (information systems): Three-way tie for 15th

Business (part-time MBA): Three-way tie for 11th

Business (full-time MBA): 20th

Business (management): Five-way tie for 25th

Business (marketing): Eight-way tie for 25th

Chemistry (analytical): Four-way tie for 16th (ranked in 2024)

Chemistry: Seven-way tie for 22nd

Chemistry (inorganic): Three-way tie for 22nd (ranked in 2024)

Computer science (theory): Tied for 11th

College of Education (overall): Tied for 24th

Education (administration): Tied for 11th

Education (curriculum/instruction): Tied for 12th

Education (policy): Tied for 14th

Education (special education): Tied for 12th

College of Engineering (overall): Three-way tie for 22nd

Engineering (aerospace/aeronautical/astronautical): Tied for 17th

Engineering (biomedical/bioengineering): Five-way tie for 12th

Engineering (civil): Four-way tie for 13th

Engineering (computer): 12th

Engineering (electrical): Three-way tie for 22nd

Engineering (industrial/manufacturing/systems): Seven-way tie for 24th

Engineering (materials engineering): Five-way tie for 25th

Library and Information Studies (school library media): Two-way tie for 11th (ranked in 2022)

Mathematics (applied math): 21st (ranked in 2024)

Nursing master’s (overall): Tied for 12th

Nurse practitioner (adult gerontology acute care): Tied for 11th

Nurse practitioner (family): Tied for 15th

School of Pharmacy (overall): Tied for 14th

Physics (overall): Tied for 20th��

Public Affairs (public policy analysis): 14th

Public Affairs (social policy): Tied for 13th

Public Affairs (urban policy): Three-way tie for 21st

Public Health (health care management): Three-way tie for 16th��

Public Health (health policy and management): 11th

Public Health (social behavior): 13th

Sociology (overall): Two-way tie for 22nd (ranked in 2025)

Sociology (population): Two-way tie for 15th (ranked in 2022)

TOP 35:

Business (analytics): Seven-way tie for 32nd

Business (executive MBA): Three-way tie for 29th

Business (finance): Nine-way tie for 31st

Business (international MBA): Tie for 32nd

Business (production & operations): Five-way tie for 27th

Engineering (chemical): Tied for 28th

Engineering (mechanical): 34th

English: Two-way tie for 34th (ranked in 2025)

Fine arts: 15-way tie for 34th

History: Three-way tie for 31st (ranked in 2025)

Mathematics: Four-way tie for 26th

Occupational Therapy: Tied for 20th

Physical Therapy: Tied for 31st

Political science: Five-way tie for 33rd (ranked in 2025)

Since Ryan Calo joined 91���� School of Law in 2012, he has become a leading expert on the law and emerging technology.����

Calo believes that few interesting questions — especially around technology — can be resolved by reference to a single discipline.��

Calo is a co-founder of the , and the . He is also a professor in the and an adjunct in the .��

Calo’s newest book, “,” published late last year, is a guide to a legal analysis of regulation and technology. Nearly a decade ago, Calo realized that the most recent book on the topic was published in the 1970s. He decided it was time for an updated resource reflecting current, rapidly evolving technology and the present regulatory environment.��

91���� News spoke with Calo about the book and the current legal and policy climate in the United States.

Who is the intended audience for “Law and Technology”?

Ryan Calo: I wrote it primarily for new entrants to the field, be they junior scholars or students. I also hoped that the themes would resonate with more senior scholars and that it would be useful outside of academia for either analysis or instruction. Because ultimately, what the book does is proposes a methodology for analyzing technology from a legal perspective.��

I spent a lot of time interacting with policymakers, staffers on Capitol Hill, people who work for senators and members of Congress. A legislator might come to a staffer and say,�� “Hey, my constituents are really worried about augmented reality or AI. They’re really worried about deep fakes.” That staff member doesn’t really have a place to start, and they end up just calling up experts, reading New York Times articles, talking to industry, but not in any kind of methodical way. This book is designed to help them figure out what’s going on.��

I also hope that this book would be of use to people who are in practice and want to be more methodical about analyzing a given technology.��

Technology evolves fast. How should the legal system and policymakers prepare to navigate the relationship between law and emerging technologies?

RC: Many of us have an expectation that technology is just going to change. It’s just going to evolve, and our job as lawyers or judges or policymakers, is to kind of scramble and accommodate the resulting disruption, and perhaps try to restore the status quo. Part of what I hope to see is legal scholars and policymakers acknowledging that the disruption isn’t inevitable.

We need to empower independent researchers to figure out what’s going on with new technology. Right now researchers are disempowered because they don’t have access to the relevant data and platforms. And many times when they try to get that data, they get served with a cease and desist letter.��

We need to protect whistleblowers and make sure there’s adequate, truly top-notch expertise within government. If you have those things, then you’re much more likely to be able to figure out what could go wrong with these technologies without having to observe the harm unfold over a long period of time, as we have with the internet and now with AI.

You mentioned the School of Law’s leadership in tech policy. How is the 91���� positioned nationally in this space?

RC: We are really among the leaders in this area.��

The School of Law has a lot of tech policy offerings, including a . Many faculty have contributed to scholarship over the years. We have lots of faculty writing about law and technology.��

We also have been really a model for impactful interdisciplinary collaboration. Law students can work in the clinic or the Tech Policy Lab. I’m one of the founders of the Center for an Informed Public, which bridges human centered and design engineering as well as the Information School and dozens of other departments including psychology, education and even geography.��

A third important example is the . We did a whole year of work mapping out who was doing work in the space — all the centers, all the labs, all the initiatives — all the people on the three campuses identified as working at this intersection.��

We’re leaders across the country at the law school in terms of our student offerings in our research, but we are also part of that interstitial glue. People think of the iSchool, which they should. They think of computer science, which they should. But they also should think about who else is in the center of this, who else is at the heart of it, and the School of Law is a big part of that.

There’s been a lot of news lately about states trying to regulate AI and the federal government pushing back. What’s your perspective?

RC: If I were trying to sabotage the innovation edge of the United States, I would do at least two things, maybe three.��

First, I would divest in basic research. The United States has had an innovation edge over the rest of the world in large part because of decisions made in the 1950s and beyond to invest in basic research. I would dismantle that, and I would try to make it really hard for universities to do research, either by spending less, disrupting the relationships, or messing with overhead in ways that makes research impossible.��

The second thing I would do is make it really hostile for outside innovators to come in and participate in knowledge production here. I would, whether xenophobically or not, try to make it really hard for people with ideas and talent and knowledge to come here to the United States to work on teams with other Americans, to stay here and teach in our schools, to found companies. The second enormous advantage the United States has had is that the country has become attractive because of its commitment to the rule of law and its robust higher ed system, and that’s built on its innovation and investment in research. People from all over the world come here to try and make the next Google and Amazon, or are teaching in our schools and contributing to our ecosystem.��

The third thing I would do in this hypothetical situation is remove non-existent hurdles to transformative technologies like AI. What do I mean? Federal leaders are currently talking about getting out of the way of AI, but there aren’t any regulations about AI, really. There are some state laws that have a kind of European flavor of risk management, like and . There are specific things that states are worried about, including deep fakes and labeling online social media accounts that are automated. There’s almost nothing standing in the way of AI innovation in terms of regulation.��

The way that our system is structured is that the individual states, under our concept of federalism, are supposed to be laboratories of ideas, experimenting with legislation, and showing that it works or it doesn’t. Pretending that you’re pro-innovation because you’re trying to stamp out the very few regulatory hurdles that companies have to have to abide by all in the name of competing with China, which has AI laws, is just senseless. We’re much better off following the wisdom of the founders, who said, “Hey, if you have something new in society, let the states serve as laboratories for different laws, and we can all learn from each other about how that’s going.” That’s classic federalism and it used to be a pillar of conservative thinking.��

The President doesn’t have the power to boss the states around in terms of their legislative capacities. And Congress has taken up the question of whether to try to preempt AI laws, and they resignedly declined. I just want to comment that the overall strategy of the administration has been deeply anti-innovation in its impact, even though it is vociferously proinnovation in its rhetoric.

Any final thoughts?

RC: We have an environment in the U.S. that promotes innovation, sometimes through laws, such as laws that protect intellectual property, and laws that make people feel safe enough to use products and services that companies can sell them to us. There’s not, and never has been, a one-to-one correlation between regulation and promoting innovation. It’s really important that we acknowledge, as a society and community, that sometimes laws are written in the service of innovation. What you want is a favorable regulatory environment, not a complete absence of the rule of law.

For more information, contact Calo at rcalo@uw.edu.��

Heart rate is an important sign of fetal health, yet few technologies exist to easily and inexpensively track fetal heart rates outside of doctors’ offices. This can create risks for pregnancies in low-resource regions where doctors are far away or inaccessible.��

A team led by 91���� researchers has created DopFone, a system that uses an off-the-shelf smartphone’s existing speaker and microphone to accurately estimate fetal heart rate. The phone mimics a Doppler ultrasound, emitting a tone and listening for the subtle variations in its echo caused by fetal heart beats. A machine learning model then estimates the heart rate. In a clinical test with 23 pregnant women, DopFone estimated heart rate with an average error of 2 beats per minute, or bpm. The accepted clinical range is within 8 bpm.��

The team Dec. 2 in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.��

“Eventually DopFone could let people test fetal heart rate regularly, rather than relying on the intermittent tests at a doctor’s office, or not getting tested at all,” said lead author , a 91���� doctoral student in the Paul G. Allen School of Computer Science & Engineering. “Patients might then send this data to doctors so that they can better judge patients’ health when they’re not in a clinic.”

Traditional Doppler ultrasounds, the clinical standard for fetal heart rate monitoring, work by sending high-frequency sound into a person’s body and tracking how the echo changes in frequency. They’re very accurate at measuring fetal heart rate but require costly equipment and a skilled technician to operate it.

To use DopFone, a user places the phone’s microphone against their abdomen for one minute. The phone emits a subaudible 18 kilohertz tone. The team chose this low frequency because — unlike a Doppler’s high frequencies, above 2,000 kilohertz —�� it sits within the range smartphone microphones can record while still traveling well through tissue. As the tone is reflected through the user’s abdomen, the fetus’s heartbeat creates small shifts in the sound.��

A machine learning model then estimates the heart rate using the audio and the patient’s demographic information

The team tested DopFone in 91���� Medicine’s maternal-fetal medicine division on 23 pregnant patients between 19 and 39 weeks of pregnancy. On average its readings were within 2.1 bpm of the medical Doppler ultrasound. Its accuracy was slightly diminished for patients with high body mass indexes, though those readings were still within normal limits. Because an irregular fetal heartbeat is often an emergency, DopFone was not tested on patients with irregularities.��

Next, the team plans to gather more data outside a lab to better train the model. Eventually they want to deploy it as a publicly available app.

“This women’s health space is often overlooked,” Garg said. “So I want to focus on accessible alternatives that can be available to people in low resource areas, whether that’s here in the U.S. or in other countries. Because health belongs to everyone.”

Co-authors include , a 91���� graduate student in electrical and computer engineering; and , both OB/GYNs in 91���� Medicine’s�� maternal-fetal medicine division; and , a 91���� assistant professor in the Allen School. , a 91���� professor in the Allen School and in electrical and computer engineering, and of the Georgia Institute of Technology, were senior authors. This research was funded by the 91���� Gift Fund.��

For more information, contact Garg at pgarg70@uw.edu.

The 91���� and Microsoft have announced the expansion of their long‑standing partnership uniting world-class academic research with world-leading technology. 91���� and Microsoft aim to accelerate AI discovery, prepare students and workers for an AI-driven economy, and help communities understand and use AI responsibly.

The announcement, made today by 91���� President Robert J. Jones and Microsoft Vice Chair and President Brad Smith during an event at the 91����’s Paul G. Allen School of Computer Science & Engineering, will increase the University’s access to the most advanced AI computing power, expand internship and applied research opportunities for its students, and develop community AI literacy programs, including a foundational AI course for working Washingtonians.

“Our long-standing partnership with Microsoft demonstrates what’s possible when universities and industry come together to support students and our society, and we are grateful for their continued support,” Jones said. “Together, we’re expanding students’ access to hands-on learning, advancing AI research and strengthening our workforce.”

This announcement builds on Microsoft’s decades-long support of the University, including $165 million of investments in student scholarships and enhancements to the 91����’s world-leading computer science and engineering programs. In tandem with ongoing state and federal support, these investments have helped increase access to education and contributed to the state’s highly skilled workforce.

“President Jones has outlined a bold vision for the 91����, one that expands access and affordability in higher ed, forges radical partnerships and strengthens civic health,” Smith said. “It’s essential that this vision includes broad access to AI technology and the skills to use it, so students, workers and communities across Washington are prepared for this new era of computing and can share fully in its benefits.”

The timing of the announcement comes as forecasts predict a need to fill 1.5 million job vacancies in Washington by 2032 — about 640,000 new jobs and 910,000 openings due to retirements, according to Partnership for Learning. Up to 75% of those vacancies will require post-secondary credentials, with four-year and advanced degrees in highest demand. If current trends hold, experts predict a shortfall of nearly 600,000 credentialed workers in Washington over the decade.

“It’s critical that industry, colleges and universities, and policy makers continue to work together to maintain the region’s economy and climate of innovation and discovery,” Smith said. “That includes avoiding going backward by making cuts to core state funding that would make a college degree less accessible to our state’s students.”

The budgets proposed by the Washington State Legislature’s majorities would keep funding for the 91���� largely stable. Historically, the Legislature has created a fertile environment for workforce growth and training through the Washington Workforce Education Investment Act (WEIA) and the Washington State Opportunity Scholarship (WSOS).

Since passage in 2019, with support from Microsoft and other business leaders, the WEIA has generated more than $2 billion in dedicated funding to expand higher education access in Washington.�� WSOS — a first-of-its-kind public-private partnership in which private employers contribute philanthropic dollars that are matched by the State of Washington to expand access to higher education in high-demand fields — has delivered nearly $150 million in total scholarships statewide, combining private donations and state matching funds. One-third of WSOS scholars attend the 91����.

“These new elements of our partnership with Microsoft continue to position the 91���� and our state as leaders in access to higher education and at the forefront of the emerging technologies that can drive broad-based prosperity,” Jones said.

Microsoft and the 91����’s expanded partnership will:

• Provide faculty, researchers and students with access to advanced computing capabilities that enable modern AI training, experimentation and research, and instruction. Microsoft is supplementing this effort by donating Microsoft Azure cloud computing credits to help accelerate the development of a research cloud computing platform.
• Launch a new initiative to connect 91���� faculty, visiting professors and students with real-world research opportunities at Microsoft. This is based on a new “research marketplace” that will be established and supported by Microsoft’s AI for Good Lab. It will be complemented by 10 additional graduate student-researcher slots per year — eight through the Microsoft Research organization and two in the AI for Good Lab.
• Support undergraduate students as they become civic leaders, helping them build ethical judgment, digital citizenship and agency to co-design how emerging technologies, including AI, will serve communities and democracy.
• Join forces with 91����’s Continuum College, an institution serving more than 50,000 learners annually through 400 programs serving young people, working adults and senior citizens. The 91���� and Microsoft will develop programming that helps Washingtonians navigate AI-related workforce transitions with confidence and purpose. This collaboration will result in new courses and other learning pathways focused on career resilience, evolving job demands and navigating the challenges that accompany shifting career identities.
• Beginning this fall, the 91���� and Microsoft will launch a new collaboration on Microsoft’s Redmond campus that reimagines how universities and industry work together. This part of the work will deepen workforce‑connected education and applied learning. The collaboration will support the co‑development of select courses and learning experiences for Microsoft employees navigating rapid AI‑driven change, while enabling 91���� students to learn alongside industry professionals and gain real‑world insight as part of their academic experience. Additional details will be announced later this year.

Since becoming the 91����’s 34th president in August 2025, President Jones has set out three key priorities for the University: increasing access to education, including through the goal of making a 91���� degree debt-free for Washington undergraduates; spurring radical collaborations with businesses and communities to advance positive change; and eliminating any artificial barriers between the University and the communities it serves.

Along with strategic planning underway at the 91����, Jones is engaging with corporate and civic leaders, as well as organizations throughout the region, to expand existing partnerships with the 91����. Through these relationships, he aims to support access and affordability for students and the economic vitality and social fabric of Washington state and beyond.

For more information, contact Victor Balta at balta@uw.edu.

Five 91���� faculty members have been awarded early-career fellowships from the Alfred P. Sloan Foundation. The new Sloan Fellows, announced Feb. 17, are , an assistant professor of physics, , an assistant professor of chemistry, and , an assistant professor of biology, all in the College of Arts & Sciences; , an assistant professor of computer science in the College of Engineering; and , an assistant professor of oceanography in the College of the Environment.��

Since the first Sloan Research Fellowships were awarded in 1955, and including this year’s fellows, 136 faculty from 91���� have received a Sloan Research Fellowship, according to the Sloan Foundation.��

Sloan Fellowships are open to scholars in seven scientific and technical fields — chemistry, computer science, Earth system science, economics, mathematics, neuroscience and physics — and honor early-career researchers whose achievements mark them among the next generation of scientific leaders.��

The 126 Sloan Fellows for 2026 were selected by researchers and faculty in the scientific community. Candidates are nominated by their peers, and fellows are selected by independent panels of senior scholars based on each candidate’s research accomplishments, creativity and potential to become a leader in their field. Each fellow will receive $75,000 to apply toward research endeavors.��

This year’s fellows come from 44 institutions across the United States and Canada.��

Maria “Masha” Baryakhtar

�������ⲹ���ٲ���’s research in the Department of Physics focuses on theories beyond the established Standard Model of particle physics and on creating new ideas and directions for testing these theories. Such theories address outstanding puzzles in our existing understanding and often predict new, ultralight, feebly interacting particles beyond those we have discovered so far. The existence of these particles can be tested through exquisitely precise experiments in the lab or by observing extreme objects in the sky like black holes and neutron stars.

“My research program aims to search high and low for new, as yet hidden particles and forces. Because of their nature, these particles require a range of creative search strategies. The directions I am establishing use new technologies and data from the sky to the lab and may be the only way to shed light on the truly dark elements of our universe.”

Matthew R. Golder

�ҴDZ�����’s research in the Department of Chemistry addresses the omnipresent “plastics problems” from two different vantage points. First, the team thinks about new ways to prolong the useful lifetime of commodity materials. The researchers use molecular engineering to keep plastics in use longer before discarding. The Golder Research Group also develops new methods to make and repurpose plastics, with an emphasis on green chemistry and making plastics more recyclable.

“Plastics are paramount to daily life, so there are numerous opportunities to improve performance and mitigate waste. We operate at the interface of fundamental organic chemistry and applied materials science to enhance plastic integrity and sustainability. By doing so, my students really take this mission to heart and constantly dream up new ways to creatively (re)design commodity plastic materials.”��

Vikram Iyer

������’s research in the Paul G. Allen School of Computer Science & Engineering seeks to address sustainability challenges across the full computing stack from creating recyclable polymers to reimagining the way we build computing hardware by designing AI systems to and . In particular, the group’s work goes beyond simply reducing energy consumption to quantify and tackle the environmental impacts of materials and manufacturing.��

“My group both leverages innovations from outside of computing like chemistry and material science to drive sustainability and applies computing techniques from AI to programming languages to fundamentally advance environmental sciences. This work is highly interdisciplinary and takes some extra effort at the beginning for each of us to understand the technologies and methods developed by our collaborators. By doing this, we can come up with completely new ideas that have real world impact like enabling carbon reduction at major companies like Amazon, and creating systems like battery-free robots that push the boundaries of technology.”

Willem Laursen

�����ܰ������’s research in the Department of Biology is focused on understanding how animals detect and respond to sensory cues in their environment. Using genetic manipulation, neurophysiology and behavioral analyses, the lab’s current focus is to understand how disease vector mosquitoes use sensory cues to locate hosts, mates and egg-laying sites.

“It is an honor to be selected as a Sloan Fellow. This award will support our lab’s research on the role of the mosquito gustatory, or taste, system in critical behaviors, such as blood feeding. While mosquitoes use all of their senses to efficiently locate hosts, their taste system is surprisingly understudied. By examining the gustatory systems of blood-feeding insects, we hope to better understand how taste cues on the skin and in the blood are detected and used to guide their specialized behaviors, lines of inquiry that could ultimately identify new targets for controlling the spread of disease.”

Frankie Pavia

�ʲ�������’s research in the School of Oceanography develops and applies new isotopic techniques to study feedbacks in the Earth system. His work spans the oceanic, atmospheric, lithospheric, and human domains, on timescales ranging from minutes to millennia.

“The oceans are a repository and reactor for materials originating on land, in the atmosphere, in Earth’s interior and from outer space. Chemical fingerprints of oceanic interactions with these reservoirs can be unlocked using unique analytical chemistry techniques, especially those involving the precise measurement of isotope ratios. My current research aims to discover new interactions between the oceans and the Earth system in the past, present and future, by pioneering interdisciplinary studies that use measurements of stable and radioactive isotopes to determine how much and how fast the Earth system changes. Current projects involve using cosmic dust to reconstruct sea-ice coverage, sensitively detecting human-derived carbon in the oceans, and understanding the past and future impacts of oceanic calcium carbonate dissolution on storage of atmospheric carbon dioxide.”��

Contact Baryakhtar at mbaryakh@uw.edu, Golder at goldermr@uw.edu, Iyer at vsiyer@cs.washington.edu, Laursen at wlaursen@uw.edu, and Pavia at fjpavia@uw.edu.