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Allen School recognizes David Dawson and Nodira Khoussainova with 2026 Alumni Impact Awards 


The exterior of the Allen School building is shown on a sunny Fall day against a blue sky dotted with clouds.
Photo by University of Washington

Each year, the Allen School recognizes outstanding former students with exceptional records of achievement with the Alumni Impact Award. This year’s honorees David Dawson (B.S., ‘06) and Nodira Khoussainova (Ph.D., ‘12) have combined their computing skillset with their entrepreneurial spirit to build companies that are making a positive impact in people’s lives.

“David and Nodira are exceptional role models for our graduates. They demonstrate how you can bring the technical skills unique to a computing education to bear on matters of community and societal well being that we can all relate to,” said Dan Grossman, professor and vice director of the Allen School. “Their passion as entrepreneurs springs from this through line from technical problem solving to finding important issues others have overlooked.”

Dawson and Khoussainova will be formally honored at the 2026 Allen School graduation celebration on June 12 — showcasing to a new class of alumni what can be accomplished with an Allen School education. 

David Dawson (B.S., ‘06): Building meaningful startups with the “right mix of mission, people and opportunity.”

Headshot of David Dawson.
David Dawson

David Dawson got his start in technology and entrepreneurship in high school building websites for local businesses. Since then, his career has been defined by a series of technical co-founder and early engineering roles at multiple Pacific Northwest startups. Along the way, he worked with members of the Seattle technology community — including many fellow Allen School alumni — who would go on to become lifelong collaborators, with the goal of building technologies that make a difference.

“One of the things I love about getting a company going from the ground up and building relationships with people who are also trying to create this thing that doesn’t exist is that it taps into an optimism and passion that keeps you going,” Dawson said. 

After graduating from the Allen School, Dawson followed some of his University of Washington alumni to Zillow as one of the company’s first software engineers. The experience was his “first foray into starting something more from scratch” where he learned the ins and outs of startup life and how to creatively solve problems. That skillset helped him co-found his next two business ventures — a loyalty rewards program called Stash Hotel Rewards that helps independent hotels compete with larger chains, and Leah’s Kitchen, a dinner delivery service that makes home cooked meals more accessible for busy families. While each startup had vastly different focuses, Dawson said each one brought together the “right mix of mission, people and opportunity.”

The seeds of resilience that I’ve been able to build over the years really started there at the Allen School, where I learned that it’s okay to fail some and pick yourself up and ask for help.

David DawsonCo-founder of Ridwell

In 2018, Dawson co-founded Ridwell, a subscription service that makes it easier for households to recycle items that can’t be easily recycled curbside with the goal of building a future without waste. The company takes in items such as multilayer plastics, styrofoam, light bulbs and electronics and transports them to local partners who specialize in giving the materials a second life to keep them out of landfills. Ridwell began as CEO Ryan Metzger and his son driving around North Seattle collecting hard to recycle items from neighbors, and Dawson offered to help on the technology side. Along with two other co-founders, they turned the mailing list of Seattle neighborhoods to a subscription recycling business that spans more than 150,000 customers across the country. While Dawson has stepped aside as the company’s head of engineering, he still maintains an advisory role.

Dawson credits his time at the Allen School with giving him the skillset, mentorship and opportunities to help his career grow. 

“The seeds of resilience that I’ve been able to build over the years really started there at the Allen School, where I learned that it’s okay to fail some and pick yourself up and ask for help,” said Dawson. “The instructors, professors and advisers who helped me find my way — I’m only starting to appreciate it now, but these connections and people are what matters when you think about going out and getting a job and doing great things.”

Next, Dawson is focused on helping everyday builders in his community use artificial intelligence to bring their ideas to life. That includes collaborating with his wife (a fellow Husky) to grow her coaching business and working with other colleagues on smaller, AI-driven projects. 

Nodira Khoussainova (Ph.D., ‘12): Developing technology that protects human attention instead of stealing it

Headshot of Nodira Khoussainova.
Nodira Khoussainova

Nodira Khoussainova, CEO and co-founder of the online social coworking platform Focused Space, is doing something that feels almost countercultural these days: building a company whose entire purpose is the protection of human attention.

“The most important work that’s happening in the tech industry right now involves protecting human attention instead of stealing it, and creating space for authentic human connection instead of just chasing engagement metrics,” Khoussainova said.

That clarity of purpose was first shaped during her time at the Allen School, where she was advised by professors Magdalena Balazinska and Dan Suciu of the UW Database Group. She said that Balazinska taught her the basis of systems thinking and how to look at a problem and break it down into a system of interconnected parts and constraints. For Khoussainova, that’s a skill she uses every day as a founder, since “running a company is basically a systems problem.” From Suciu, she learned what she describes as “principled thinking,” or digging deep into issues and pushing against one’s own assumptions, which has shaped how she evaluates ideas and makes decisions. In the labs and hallways of the Allen School, Khoussainova said she also learned that technology is only as meaningful as the humans it serves.

“At the Allen School, there’s this deep sense of responsibility and thoughtfulness about the impact technology is having on society,” Khoussainova said. “It was in the air. I was living and breathing that culture. It’s why I’m building the technology I’m building.”

After completing her Ph.D., Khoussainova went deep into industry. She co-founded Streamlit, a developer tool for AI and machine learning engineers that was later acquired by Snowflake, and led the experimentation team at X (formerly Twitter). She was at the frontier, watching up close how technology was reshaping human behavior and affecting people’s mental health.

In 2021, Khoussainova co-founded Focused Space, which helps creatives, entrepreneurs and academics concentrate on their work and achieve their goals through “body doubling.” Body doubling is a technique where people work alongside one another, such as in a coffee shop or an online video space. It helps a person sit down and focus on tasks they have been meaning to finish. 

She created the company initially for herself as a passion project. “I’ve always been someone who cares deeply about my work, and I love the state you get into when you can really lock in, but it’s really hard to put aside all distractions,” explained Khoussainova. 

Once she saw the impact she was having on people’s lives — members getting dream jobs, publishing books and launching businesses — she doubled down on the vision. Khoussainova brought on her two co-founders: Justin Trobec from X and fellow UW alum Alexis Hope, a product designer whose work centers on helping people find joy, self-compassion and connection with others.

At the Allen School, there’s this deep sense of responsibility and thoughtfulness about the impact technology is having on society.

Nodira KhoussainovaCEO and co-founder of Focused Space

The platform is especially helpful for users who are neurodivergent, such as the growing number of adults with attention deficit/hyperactivity disorder (ADHD), and those who work remotely. Focused Space offers more than 100 expert-facilitated online body doubling sessions throughout the work week across multiple time zones, and provides other tools for goal setting, productivity and more. For example, the company also partners with a network of therapists, coaches and educators who offer workshops on topics such as stress management. Focused Space recently went public in the Apple App Store and launched its own social video platform.

Read more about the Alumni Impact Award here.


Allen School Ph.D. students Vicente Arroyos and Kyle Johnson empower students to pursue STEM through AVELA mentorship program


Vicente Arroyos, Leilani Battle and Kyle Johnson accept the SIGCHI Special Recognition for their work with AVELA. Kyle holds a poster of a group photo of all other AVELA members.
Allen School Ph.D. student Vicente Arroyos, Allen School professor Leilani Battle and Allen School Ph.D. student Kyle Johnson accept the SIGCHI Special Recognition for AVELA’s mentorship program.

University of Washington student group AVELA – A Vision for Engineering Literacy & Access is making STEM education more accessible to more students. The organization provides free courses and workshops for kindergarten to high school students in topics such as artificial intelligence, virtual reality and robotics, while pairing learners with college, graduate and professional mentors.

At the ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) in April, AVELA co-founders and Allen School Ph.D students Vicente Arroyos and Kyle Johnson received a SIGCHI Special Recognition “for building an impactful mentorship ecosystem that empowers thousands of underrepresented youth and strengthens community-rooted STEM learning and workforce development.”

We recently spoke with Arroyos and Johnson to learn more about AVELA and their work. 

What is AVELA?

Vicente Arroyos: AVELA started out here at the University of Washington as a student organization in 2019, and grew into a 501(c)3 nonprofit in 2022, but our mission is still the same. We are a STEM outreach organization that uses mentorship to provide STEM experiences to youth, whether that be in industry or in research fields.

Kyle Johnson: AVELA’s model is built around multi-tiered near-peer mentorship. Graduate students mentor undergraduates early in their academic and professional journeys, helping them build technical skills through hands-on, research and community-driven projects. Those undergraduates then translate what they’re learning into engaging lesson plans, workshops and resources that bring emerging areas of computing and engineering to elementary, middle and high school students. Our programs are designed to reach youth who are furthest from educational equity, so we work a lot with students who are first generation, low income as well as those from historically marginalized backgrounds.

Using their talent, energy and leadership, AVELA students are creating measurable changes across the state.

Vicente ArroyosAllen School Ph.D. student

How many students has AVELA worked with?

VA: Since we founded the organization in 2019, AVELA has supported over 500 college instructors in mentoring more than 7,000 K–12 students, delivering more than 125,000 hours of STEM instruction. Between 2024 to 2025 alone, we supported 150 unique college instructors across 77 classrooms in leading 30,419 hours of learning to 2,101 secondary students. This impact would not be possible without our student members. Using their talent, energy and leadership, AVELA students are creating measurable changes across the state.

KJ: I want to highlight the 125,000 hours of STEM instruction, because it shows the depth of AVELA’s engagement with students. When you divide those hours across more than 7,000 students, it comes out to nearly 18 hours of mentorship per student. That is enough time not only to teach technical skills, but to build trust, talk about college and career pathways and support students beyond the project itself. I often say that 50% of the work is STEM education, and the other 50% is life and career mentorship.

How does AVELA choose what kinds of topics to teach to students?

A poster showing two group photos of AVELA members posing among the University of Washington cherry blossoms. The top photo shows the group in 2023, and the bottom photo shows the AVELA group photo in 2024.
The SIGCHI Special Recognition also honors the efforts of other AVELA student members who help make the organization’s workshops and mentorship programs possible.

VA: Personally, I had few chances to explore the topics I was interested in as a secondary student, and it was a handful of early opportunities that gave me my first real exposure and sparked that flame. That’s why our priority is letting the students guide the topics.

Today, we’ve expanded well beyond the content we started with. We began with engineering, since that was the interest of our founding group, but as students came through we grew into health-related fields and beyond because the interest was there, from both the K–12 students and the undergrads at the time.

KJ: AVELA’s programming has always evolved with student interests. Most of our projects start when students come to us excited about an emerging technology. That was true with chatbots and AI: before ChatGPT was released in 2022, students were already asking how these systems worked. So in 2021 and 2022, we were building lessons around AI and machine learning because that was what students wanted to learn.

Now, students are excited to work on projects related to microrobotics, quantum computing and extended reality, but they are not stopping at the technology itself. They are going back into their communities, identifying real problems and asking how these tools can be used to solve them.

What is next for AVELA?

VA: There’s been a start in getting mentors going across the nation, but currently we’re still mainly in the greater Seattle area. It’d be great to see the organization and what has been built here be replicated in other cities.

KJ: We don’t have a shortage of undergraduates who want to do this work, nor a shortage of community partners who want them in their classrooms. The challenge has always been building enough buy-in from faculty and professional mentors to support them. Greater mentorship involvement, especially through grants that fund undergraduate roles, would allow AVELA to reach more students with higher quality, and more frequent, lessons. There are many bright students ready to contribute, but expanding access means providing these students meaningful, paid opportunities to grow.

Students are excited to work on projects related to microrobotics, quantum computing and extended reality, but they are not stopping at the technology itself. They are going back into their communities, identifying real problems and asking how these tools can be used to solve them.

Kyle JohnsonAllen School Ph.D. student

In addition to Arroyos and Johnson, fellow AVELA co-founder Liban Hussein, who graduated from the UW Department of Electrical & Computer Engineering and is now at Boeing, also received a SIGCHI Special Recognition.

Learn more about the 2026 SIGCHI Awards here, and more about AVELA’s work here.


Allen School professors Magdalena Balazinska and Shwetak Patel elected to the American Academy of Arts & Sciences as leaders and pioneers in computer science


Side-by-side portraits of Magda Balazinska and Shwetak Patel
Magdalena Balazinska and Shwetak Patel were recently elected part of the 2026 class of the American Academy of Arts & Sciences. They join the likes of Benjamin Franklin, Alexander Hamilton, Albert Einstein, Jennifer Doudna, Barack Obama and more.

The American Academy of Arts & Sciences, one of the nation’s most prestigious honor societies, elected two Allen School faculty as part of its 2026 class of new members — Allen School director and professor Magdalena Balazinska and professor Shwetak Patel. Chartered in 1780, the Academy recognizes exceptional individuals across academia, industry, the arts and more who examine new ideas and address issues of importance to both the nation and the world.

Magdalena Balazinska: The “extraordinary leader” advancing data management and data science education and research

Magda Balazinska smiles as she poses next to Dubs the husky.
Magdalena Balazinska has served as director of the Allen School since 2020, but the impact of her research and leadership extends across the UW campus and beyond.

The Academy recognized Allen School director and professor Magdalena Balazinska for her trailblazing contributions and service to the field of data management and data science.

“I’m deeply honored to join the Academy’s distinguished group of leaders past and present from such a large breadth of areas. Since hearing the news, I have been reflecting on how incredibly far science and engineering have come since the founding of the Academy,” said Balazinska, who holds the Bill & Melinda Gates Chair in Computer Science & Engineering at the Allen School. “They have dramatically changed our lives. Yet so many opportunities and also challenges remain ahead of us. And in my own field of data management, for example, AI has the potential to accelerate progress in ways I couldn’t have imagined at the start of my career.”

One of Balazinska’s most influential contributions has been her work with her collaborators on the development of the distributed stream processing system Borealis. The system enabled large-scale, low-latency data processing for a range of applications, from financial services to wireless sensing. Balazinska and her co-authors received a Test of Time Award at the Conference on Innovations Data Systems Research (CIDR 2025) for the paper that introduced Borealis, and another Test of Time Award from the Association for Computing Machinery’s Special Interest Group on the Management of Data (ACM SIGMOD 2017) for developing novel fault-tolerance techniques for distributed stream processing, a critical feature at large scale.

“Magda is well known in the database research community for her contributions to scalable distributed data systems,” said Allen School professor Dan Suciu, her colleague in the UW Database Group. “Her Ph.D. work at MIT developed the first scalable stream data processing engine, called Borealis. Unlike SQL database systems, which have access to data stored locally, a stream data processing engine can only see the data once, and must process it on-the-fly. This required a total re-engineering of the query processing engine and, for her innovation, Magda was recognized with the Test-of-Time Award at the two most prestigious data management conferences.”

Alongside her students and UW collaborators, Balazinska has also developed novel techniques for big data processing and cloud analytics such as those found in Myria, a fast, flexible open-source cloud-based service. More recently, she has turned her attention toward developing efficient data management systems for video and augmented, virtual and mixed reality, including the Video Organization and Compositional AnaLytics (VOCAL) project, a suite of video analytics systems that help users organize and extract information from video datasets.

Balazinska has served as the director of the Allen School since January 2020. Her leadership in the computing community, however, goes beyond the school doors. Prior to assuming her role as Allen School director, Balazinska served as the UW’s Associate Vice Provost for Data Science as well as the director of the eScience Institute, which advances data-intensive discovery across a variety of fields at the University. Balazinska also led the development of the UW Data Science Minor as well as transcriptable data science specializations, called Options, at the undergraduate and graduate levels. The Data Science Option is now offered in over 22 units across campus. 

Since hearing the news, I have been reflecting on how incredibly far science and engineering have come since the founding of the Academy. They have dramatically changed our lives.

Magdalena BalazinskaAllen School director and professor

At the state level, Balazinska serves on Washington’s Artificial Intelligence Task Force, which was created by the legislature to develop recommendations for the potential regulation of AI systems. As part of the task force, she co-chairs two subcommittees — one focused on Education and Workforce Development and a second on Health Care and Accessibility. 

Her influence also extends outside of Washington. As the co-founder of the Northwest Database Society, she brought together researchers working in databases and data management systems from across the Pacific Northwest region. Balazinska has also served as both a member and co-chair of the U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (NSF CISE) Advisory Committee. 

“Magda was elected to the American Academy for her scientific and engineering accomplishments, but she is also an extraordinary leader — of the Allen School and of the entire data management community,” said Allen School professor emeritus Ed Lazowska.

Balazinska’s election to the Academy is one of many recognitions she has received throughout her career. Her other awards include the inaugural VLDB Women in Database Research Award and an NSF CAREER Award. Balazinska is also a Fellow of the Association for Computing Machinery (ACM) and an elected member of the Washington State Academy of Sciences.

Shwetak Patel: The “incredibly creative” innovator advancing health, sustainability and interaction research

Shwetak Patel, the Washington Research Foundation Entrepreneurship Professor in the Allen School and the UW Department of Electrical & Computer Engineering, thinks outside the box by bringing together research in human-computer interaction (HCI) with ubiquitous computing and sensor-enabled embedded systems to advance new health and sustainability innovations.

Shwetak Patel extends out his arm, showing a color guide resting on it which can help detect someone's bilirubin levels.
Shwetak Patel has pioneered new ways of using the sensors built into smartphones for health screening, such as using the camera to gauge bilirubin levels.

“I’m humbled and honored to be inducted to the AAA&S. To see highly applied computing research celebrated at this level is so rewarding. I hope this serves as a catalyst for others to embrace a broader, more practical perspective on what computing can achieve for society,” said Patel, who is also associate director for development and entrepreneurship in the Allen School.

Many people carry around a smartphone in their pocket, and Patel’s research focuses on leveraging the device’s combined sensing, data processing and communication abilities to expand health care access. Patel, who directs the Allen School’s UbiComp Lab, has pioneered the ability to extract clinical grade signals using these everyday sensing devices to help users continuously monitor their health — which is especially helpful to those in low-resource settings. For example, he and his team developed the app FeverPhone that turns smartphones into thermometers and a smartphone-based glucose and prediabetes screening tool called GlucoScreen

To help commercialize some of these technologies, Patel founded the mobile health diagnostics company Senosis Health, which was acquired by Google and is now a core part of Google’s consumer health efforts. In addition to his UW faculty position, Patel is Distinguished Scientist and Head of Health Technologies at the company, which developed multiple apps that could screen for various health conditions. These include an app that uses a smartphone’s accelerometer to detect osteoporosis and another that analyzes selfies to screen for pancreatic cancer through changes in the scleral color of a user’s eye. 

To see highly applied computing research celebrated at this level is so rewarding. I hope this serves as a catalyst for others to embrace a broader, more practical perspective on what computing can achieve for society.

Shwetak PatelAllen School professor

Another line of Patel’s research looks into using sensing technology to improve the health of the planet and tackle sustainability challenges. For example, he developed low-cost and easy-to-deploy sensor systems that could measure household energy consumption and help residents detect inefficiencies more effectively. Patel founded residential energy monitoring company Zensi, which was later acquired by Belkin, and he also co-founded the low-power wireless sensor platform company called SNUPI Technologies, which was acquired by Sears. More recently, he has helped reduce environmentally hazardous electronic waste by creating recyclable printed circuit boards and introduced AI models to help users better understand the environmental impact of everyday decisions.

“Shwetak’s work is deeply important, impactful, and incredibly creative,” said Jeff Dean (Ph.D., ‘96), chief scientist for Google DeepMind and Google Research. “He has an incredible record of research publication, entrepreneurship, and real-world impact. His health sensing research has been integrated into Google products used by more than one billion people. As a fellow American Academy of Arts & Sciences member, I am proud to see Shwetak’s induction.”

Patel’s election to the Academy is the latest in a string of accolades recognizing the wide-ranging impact of his work. He has also received a MacArthur Foundation “Genius” Award, Sloan Research Fellowship, Microsoft Research Faculty Fellowship, MIT Technology Review Innovators Under 35 Award, World Economic Forum Young Global Scientist Award, NSF CAREER Award, National Academy of Engineering Gilbreth Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). 

A Fellow of the ACM, Patel earned that organization’s ACM Prize in Computing for mid-career contributions to the field and was inducted into the SIGCHI Academy by the ACM Special Interest Group on Computer Human Interaction.

Read more about the members of the 2026 class of members in the AAA&S announcement and a related UW News story


Allen School Ph.D. student Shangbin Feng, 2026 NVIDIA Graduate Fellow, aims to make AI a model of collaboration


Allen School Ph.D. student, Shangbin Feng, NVIDIA Graduate Fellow 2026
Shangbin Feng

Allen School Ph.D. student Shangbin Feng aims to build a more open and democratic artificial intelligence future. To that end, his research focuses on model collaboration, where “multiple AI models, trained on different data, by different people, and thus possess diverse skills and strengths, collaborate, compose and complement each other.”

In December, Feng was named among the 2026 class of NVIDIA Graduate Fellows in recognition of his work. The NVIDIA Graduate Fellowship program supports graduate students from around the world whose outstanding research puts them at the forefront of accelerated computing and is relevant to the company’s interests. 

“Through model collaboration, I aim to spearhead a modular, compositional, decentralized, and participatory AI future — that everyone everywhere could have a say in the future of AI by contributing data, models, or natural language feedback reflecting their interests and priorities, and building a compositional AI system from the bottom up with their decentralized contributions,” said Feng, who is advised by Allen School professor Yulia Tsvetkov.

Feng used model collaboration techniques to enhance the reliability and trustworthiness of large language models (LLMs). Despite evolving efforts to expand the LLMs’ knowledge base, they still run into knowledge gaps, or missing or outdated information. To help models abstain from generating low-confidence outputs, he and his team introduced two novel, robust multi-LLM collaboration-based approaches where LLMs probe other LLMs for knowledge gaps, either cooperatively or competitively. When multiple LLMs are working together in cooperation, one LLM employs other models to give feedback on the proposed answer, and it then synthesizes all the outputs into an overall abstain decision. In a competitive setting, the LLM is challenged by other models with conflicting information, and it has to decide whether to abstain or not. The team’s paper describing this approach received an Outstanding Paper Award at ACL 2024, the conference organized by the Association for Computational Linguistics.

I aim to spearhead a modular, compositional, decentralized, and participatory AI future — that everyone everywhere could have a say in the future of AI.

Shangbin FengAllen School Ph.D. student

In the same vein of competitive LLM collaboration, Feng helped introduce Sparta Alignment, a framework that collectively aligns multiple language models through combat and game theory. Models form a “sparta tribe” to battle against, evaluate and learn from the strengths and weaknesses of each other. In each iteration, a pair of models duel by generating responses to sampled prompts from the dataset, while the remaining models judge their outputs. As models win or lose battles their reputation shifts, impacting how much say they have in evaluating other LLMs. For Feng, Sparta Alignment “enables the collaborative evolution of diverse LLMs without external supervision.”

He has also utilized multi-LLM collaboration to help pluralistically align models to better reflect the diversity of human values, intentions and preferences. Additionally, Feng developed the collaborative search algorithm called Model Swarms, in which diverse LLM experts collectively move in the parameter search space using swarm intelligence.

“Shangbin works on ‘model collaboration,’ a research program he is pioneering,” said Tsvetkov. “Advancing this program, Shangbin has already achieved a highly prolific publication record with peer-reviewed papers (mostly first-author) in top conferences.”

That record includes the aforementioned Outstanding Paper Award at ACL 2024, the top  conference in natural language processing; a Best Paper Award at ACL 2023; a spotlight paper at the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), the top machine learning conference; an oral presentation at the 12th International Conference on Learning Representations (ICLR 2024), representing the top 1.2% of accepted papers; and an Area Chair Award in the QA Track at ACL 2024 (one of the most competitive track in NLP conferences).

In addition to receiving a 2026 NVIDIA Graduate Fellowship, Feng has also been recognized with an 2024 IBM Ph.D. fellowship and a 2025 Jane Street Graduate Research fellowship

Read more about the NVIDIA Graduate Fellowship here

 


Allen School researchers recognized at CHI 2026 for multiple projects at the intersection of AI and HCI


At the recent ACM CHI Conference on Human Factors in Computing Systems (CHI 2026), Allen School researchers brought home multiple accolades for their innovative work in human-computer interaction (HCI) and artificial intelligence. Their projects ranged from interactive systems that allow users to collaborate with AI agents with more flexibility, to an AI-based tool that helps screen-reader users make sense of geovisualizations, to a method for customizing LLM outputs based on user objectives — and much more.

Best Paper Award: Cocoa

As AI agents take on more complex tasks that require sophisticated planning and execution, such as writing research reviews or analyzing complex documents, there is a need for more users to work together with AI to tackle these problems. However, existing agentic research tools only focus on supporting human-AI collaboration either before or after task execution. 

A team of researchers including Allen School professor Amy X. Zhang introduced Cocoa, an interactive system that enables scientific researchers to co-plan and co-execute alongside AI agents in a document editor to tackle open questions and tasks within their research projects.  With Cocoa, users and AI agents can jointly complete plan steps and then re-execute steps as desired — similar to executing code cells in a computational notebook.

Headshot of Allen School professor Amy X. Zhang
Amy X. Zhang

“In this work, we chose to really emphasize flexibility in designing an interface for working with a long-running AI agent so as to give users more control — they can switch from planning to execution and back again, and can also take over from the agent to alter plans or assist in execution at any step along the way,” said Zhang.

Based on a formative study about the needs of researchers who use AI to support their work, the team designed a user interface that provides flexible delegation between human and AI work. For example, in the interactive sidebar, users can edit the AI agent’s outputs and add any relevant papers that the agent did not find to help guide its expertise and feedback. The user can also use the step assignment toggle feature to assign low risk, but high effort tasks to the AI agent, such as searching for papers or expanding on preliminary ideas. Then, the user can reserve the more consequential tasks that require higher thinking for themselves, including identifying seed papers for the AI agent to explore more broadly and making connections between multiple papers. 

The team first evaluated Cocoa against a custom chat baseline in a within-subjects task-based lab study with 16 researchers. Participants noted that the system enabled greater steerability without sacrificing ease-of-use compared to the strong custom chat baseline. In a week-long field deployment study, seven participants integrated cocoa in their day-to-day research and found that the system was especially helpful for literature discovery and synthesis, 

Additional authors include Allen School professor emeritus Daniel Weld; University of Washington Human Centered Design & Engineering Ph.D. student Kevin Feng; University of Toronto Ph.D. student Kevin Pu; Matt Latzke, Pao Siangliulue, Jonathan Bragg and Joseph Chee Chang at the Allen Institute for Artificial Intelligence (Ai2); and Tal August, faculty at the University of Illinois Urbana-Champaign.

Read the full paper on Cocoa here

Best Paper Award: GeoVisA11y 

Geovisualizations, or interactive map visualizations, are powerful tools for understanding patterns and trends in spatial data, but they are inaccessible to screen-reader users. Even when accessibility features such as alt text and data tables are available, these features struggle to capture and interpret the full potential of complex geovisualizations.  

To address this gap, a team of researchers in the Allen School’s Makeability Lab introduced GeoVisA11y, an AI-based question-answering system that makes geovisualizations more accessible using natural language interaction. The system integrates geostatistical analysis with large language models (LLMs) to go beyond keyword-matching and rule-based approaches and make previously inaccessible analytical tasks possible.

Headshot of Chu Li
Chu Li

“We started by exploring how screen-reader users could access interactive maps, but what we found is that natural language interaction with geospatial data benefits everyone. Accessibility is never binary, and we should create tools that support people across a whole spectrum of spatial analysis abilities,” said Allen School Ph.D. student and lead author Chu Li, who is advised by Allen School professor and senior author Jon Froehlich.

GeoVisA11y is made up of two primary components. The first combines a screenreader-compatible user interface that includes an interactive map with an AI-based chat tool that can answer analytical, geospatial, visual and contextual questions. The team paired that with a custom question-answering pipeline that can transform natural language questions into geoanalytical responses and map interactions. For example, if a user asks if there is a pattern on the map, the system first runs a global Moran’s I test, which can detect significant patterns using spatial autocorrelation, and if autocorrelations exist, it then performs a local indicators of spatial association (LISA) analysis to identify specific  spatial clusters or outliers. These LISA outputs are then summarized by GPT and presented to the user along with representative examples.

The researchers evaluated GeoVisA11y through a series of user studies in which six screen-reader users and six sighted participants were asked  to complete various data analytics tasks. Both groups engaged with the geospatial data through GeoVisA11y with different, but complementary, strategies. The screen-reader users employed a combination of verbal queries and keyboard navigation, while the sighted users visually assessed the map first, then queried for specific details. Despite their varying approaches, both groups completed the tasks and identified similar patterns, showing that GeoVisA11y could effectively bridge accessibility gaps and create a shared understanding of geovisualizations. 

Additional authors include Allen School professor Jeffrey Heer, Ph.D. students Rock Yuren Pang and Arnavi Chheda-Kothary, undergraduate student Henok Assalif and alum Ather Sharif (Ph.D., ‘24).

Read the full paper on GeoVisA11y here

More CHI recognition

In addition to the two Best Paper Awards, Allen School authors received four honorable mentions at CHI 2026 for their research. 

A team of researchers in the Mobile Intelligence Lab led by Allen School professor Shyam Gollakota were recognized for VueBuds, the first system that incorporates small cameras into off-the-shelf wireless earbuds to allow users to chat with an AI model about the scene in front of them. For privacy, the prototype only takes still images that are stored and processed on the device, and which the user can delete immediately. On the topic of prototypes, user studies in HCI often evaluate whether a prototype is “better,” however, the perceived newness of technologies can influence users’ judgement and possibly performance. Allen School Ph.D. student Yumeng Ma and her collaborators were recognized for their paper quantifying this novelty bias

Heer along with colleagues at Stanford University received an honorable mention for introducing just-in-time objectives, a new method for automatically inducing AI objectives on the fly based on observing the user and their task. This approach allows the LLM to produce customized rather than generic outputs, from individual responses to generated software tools. Meanwhile, as conversational LLM interfaces become more commonplace in data analysis, the challenge becomes how can data workers easily go back, make sense of long analytical conversations and then communicate their insights to others. Allen School Ph.D. student Ken Gu and collaborators at Tableau Research were recognized for their paper investigating how data workers revisit these conversations and what kinds of tools can support that process.

Also at the conference, Allen School professor and alum Jon Froehlich (Ph.D., ‘11) collected a SIGCHI Societal Impact Award for his work tackling accessibility challenges through HCI and AI, while fellow alum Jeffrey Bigham (Ph.D., ‘09) was inducted into the SIGCHI Academy.

Read more about the UW presence at CHI 2026.

 


Allen School professor Jon Froehlich receives SIGCHI Societal Impact Award for addressing accessibility challenges through HCI and AI


Portrait of Allen School Professor Jon Froehlich
Jon Froehlich

As the director of the University of Washington’s Makeability Lab, Allen School professor and alum Jon Froehlich (Ph.D., ‘11) utilizes human-computer interaction (HCI) and machine learning to tackle high-impact socially relevant problems. Already, his work has led to improved city planning and sidewalk infrastructure across the globe, and he has developed technologies that have enabled blind and low-vision users to prepare meals, participate in sports and even engage with children’s artwork. 

“Our work aims to transform how humans interact in the real world via advanced techniques in HCI and AI, such as assessing the bikeability of a city at scale using vision language models and providing personalized bike routes, determining whether a building is accessible and to whom via capability-conditioned AI agents, and allowing people who are deaf or hard of hearing customize their own sound feedback visualizations with Generative AI,” Froehlich said. “This is an incredible time to work in HCI because sensing hardware, computation, and processing have transformed how we can augment human capabilities in the world.”

The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich with the 2026 SIGCHI Societal Impact Award, which recognizes mid-career to senior researchers whose HCI work “demonstrates social benefit.”

“This recognition belongs to my incredible students and collaborators in the Makeability Lab who work tirelessly to design more accessible, equitable futures and pursue research in accessibility, education, and environmental sustainability,” said Froehlich, who is also an associate director of CREATE (Center for Research and Education on Accessible Technology and Experiences). 

At the heart of Froehlich’s societal impact is his work developing Project Sidewalk, a web-based platform that uses crowdsourcing and AI to transform how sidewalks are visualized, mapped and analyzed. Users can explore cities through immersive imagery, similar to a first-person video game, and label sidewalks as well as accessibility issues such as uneven surfaces, missing curb ramps or obstructions like poles or fire hydrants. Project Sidewalk has assembled the largest ever sidewalk accessibility dataset — it includes more than 3 million data points across 27,000 kilometers of city streets in 43 cities and 10 countries. Froehlich and his collaborators presented a paper on the project’s pilot deployment in Washington D.C. at CHI 2019, where they received a Best Paper Award.

This recognition belongs to my incredible students and collaborators in the Makeability Lab who work tirelessly to design more accessible, equitable futures and pursue research in accessibility, education, and environmental sustainability,

Jon FroehlichAllen School professor

Across the country, cities have used Project Sidewalk to help fund initiatives to improve the safety and accessibility of their pedestrian infrastructure. For example, in Newberg, Oregon, Project Sidewalk collected more than 17,000 labels and showed that sidewalks were inaccessible especially around voting centers and bus stops, prompting the city council to authorize $50,000 for immediate sidewalk repairs and establish a grant program to help homeowners fix their own sidewalks. After Mendota, Illinois, experienced devastating fires in 2022, community partners used Project Sidewalk data to secure a $3.6 million Illinois Transportation Enhancement Program grant to rebuild their sidewalks. 

Project Sidewalk has also helped spur systemic changes in how governments make decisions about accessibility in their communities. In Chicago, the Project Sidewalk team provided expert testimony that helped shift the city’s infrastructure allocation from a complaint-based system to a more data-driven prioritization. The Mexico-based NGO Liga Peatonal partnered with Project Sidewalk to connect municipal accessibility data to international development frameworks. Froehlich also leveraged Project Sidewalk data in his collaboration with the University of Zurich in Switzerland on the ZüriACT project, which aimed to make Zurich more accessible and walkable. 

Outside of Project Sidewalk, Froehlich has worked on a variety of other accessibility projects. He led the development of StreetReaderAI, the first screen reader for Google Street View which can describe the physical environment such as sidewalks, crosswalks and ramps to blind and low-vision users. Froehlich and his collaborators also introduced CookAR, a headmounted augmented reality system that provides low-vision users real-time support during meal preparation, and earned the Belonging and Inclusion Best Paper Award at the ACM Symposium on User Interface Software and Technology (UIST 2024). More recently, he and his team developed GeoVisA11y, an AI-based geovisualization question-answering system for screenreader users, which received a CHI 2026 Best Paper Award.

“Jon Froehlich’s research in urban accessibility has achieved what few HCI researchers ever accomplish: direct, measurable change on a global scale,” said Jacob Wobbrock, UW Information School professor and Allen School adjunct faculty. “Specifically, his work has affected how cities invest in pedestrian infrastructure, how communities and governments in 40+ cities plan for accessibility, and how federal agencies define walkability and accessibility data standards.”

Froehlich joins a long line of recipients of the SIGCHI Societal Impact Award from the Allen School community. This includes faculty colleague Jennifer Mankoff, professor emeritus Richard Ladner, alum Nicki Dell (Ph.D., ‘15) and Wobbrock. He will be formally honored at the CHI 2026 conference taking place in Barcelona, Spain, later this month.

Also at the conference, fellow Allen School alum Jeffrey Bigham (Ph.D., ‘09) will be inducted into the SIGCHI Academy. Bigham, who is now faculty at Carnegie Mellon University and director of human-centered intelligence and responsible AI at Apple, is being recognized for his research that combines machine learning and crowdsourcing to enable people to interact with systems in a useful and responsible way, with a focus on accessibility.

Prior to receiving the SIGCHI Societal Impact Award, Froehlich earned a Sloan Research Fellowship, UW College of Engineering Outstanding Faculty Award, U.S. National Science Foundation CAREER Award and the PacTrans Outstanding Researcher Award.

Read more about the ACM SIGCHI Awards here.

 


Allen School professor emeritus Richard Ladner honored by ACM SIGCSE for expanding access to computer science education to empower students with disabilities


Allen School professor Richard Ladner holds the plaque he received for the SIGCSE Award for Outstanding Contribution to Computer Science Education. Next to him is Paul Tymann holding the plaque he received for the SIGCSE Award for Distinguished Service to the Computer Science Education Community.
Allen School professor emeritus Richard Ladner holds the SIGCSE Award for Outstanding Contribution to Computer Science Education next to Paul Tymann, faculty at the Rochester Institute of Technology, who received the SIGCSE Award for Distinguished Service to the Computer Science Education Community.

Although Allen School professor emeritus Richard Ladner started his career as one of the founders of the University of Washington’s theoretical computer science group, he has grown to become a leading researcher in accessible technology and an advocate for expanding access to computer science for students with disabilities. As a child of deaf educators, Ladner is deeply committed to accessibility and disability inclusion, and credits his first-hand experience with making him a more effective researcher.

“Computing technology has changed the world and almost everyone now has a computer in their pocket,” said Ladner. “It is important that future engineers and technologists learn about accessibility so that they can design technology that is accessible so that everyone can use it, and so that they can build things that are particularly useful to people with disabilities such as screen readers.”

Through mentoring and advocacy, Ladner has also directly helped hundreds of students with disabilities to gain exposure to computing as a potential career path. The Association for Computing Machinery’s Special Interest Group on Computer Science Education (SIGCSE) recently recognized Ladner with the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. The award honors researchers who have made a long-lasting impact and significant contribution to computing education.

From 2006 to 2024, Ladner led the Alliance for Access to Computing Careers (AccessComputing) — which he co-founded with Sheryl Burghstahler, former director of the UW’s DO-IT Center, with funding from National Science Foundation’s Broadening Participation in Computing program. AccessComputing supports high school, undergraduate and graduate students to build skills and connections with mentors and professional opportunities in computing-related fields. Between 2015 to 2024, program mentors worked with over 1,500 students with disabilities nationwide.

During this same time period, Ladner also led the Summer Academy for Advancing Deaf and Hard of Hearing in Computing. Students enrolled in the program, which ran from 2007 to 2013, jumpstarted their academic careers by spending the summer taking computing courses at the UW’s Seattle campus. Many of the students who went through the summer academy went on to earn bachelor’s and graduate degrees in computer science — including three who became computing faculty themselves. Ladner also partnered with Andreas Stefik, a professor at the University of Nevada, Las Vegas, to launch AccessCSforAll, an initiative that provides accessible computer science curriculum and other resources available to K–12 students with disabilities. Their paper describing the work received the SIGCSE 2019 Best Paper Award in the Experience Reports and Tools Track. 

For Ladner, it was not only important that computing education was accessible to students with disabilities, but that teaching about accessibility and disability was included in computer science curricula. In a 2018 SIGCSE paper, Ladner and his collaborators found that around 2.5% of computing and information science faculty nationwide reported teaching about accessibility, with many citing lack of knowledge as a barrier. To help address this gap, in 2024, Ladner co-edited the book “Teaching Accessibility” along with Alannah Oleson, faculty at the University of Denver, and Amy Ko, professor in the UW Information School and adjunct faculty in the Allen School. Covering multiple fields, from robotics to data structures, the book provides computing instructors with the tools and resources to help them incorporate accessibility into their teaching. Ladner has also co-authored several papers on the importance of teaching and learning about accessibility, as well as outlining strategies for integrating accessibility into various computer science courses.  

To better understand the impact of these initiatives, Ladner has advocated for the availability of demographic disability data. He encouraged the Computing Research Association (CRA) to report disability data as part of its annual Taulbee Survey, which it has as of 2021. At the same time, he also encouraged the publishers of the State of Computer Science Education report to include data on students with disabilities; they had reported the data annually since 2020. For Ladner, one of the big successes of AccessComputing was getting organizations such as the CRA to “recognize disability as a minoritized group and to collect data about it.”

“Richard is quick to encourage folks who haven’t thought about disability inclusion to find ways to incorporate it in their work  — and will have a suggestion for how to do it! Without Richard’s relentless encouragement, accessibility and disability would not be as prominent topics in CS education as they are,” said Brianna Blaser, director of AccessComputing.

Even after his retirement in 2017, Ladner has remained active in accessibility research, mentoring and advocacy. Over the years, he has supervised or co-supervised 30 Ph.D. students as well as more than 100 undergraduate researchers — many of whom sought him out for his expertise in accessibility. One of his students went on to establish the Richard E. Ladner Endowed Professorship, currently held by his faculty colleague Jennifer Mankoff, in his honor. His former students also initiated the Richard Ladner Endowed Fellowship that supports graduate students working in accessibility research.

The ACM SIGCSE Award for Outstanding Contribution to Computer Science Education is one of the many awards Ladner has earned throughout his career. He has also received the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring (PAESMEM); CRA A. Nico Habermann Award; SIGCHI Social Impact Award; Richard A. Tapia Achievement Award for Scientific Scholarship, Civic Science, and Diversifying Computing; SIGACCESS Award for Outstanding Contributions to Computing and Accessibility; Harrold and Notkin Research and Graduate Mentoring Award; Broadening Participation in Computing (BPC) Community Award; and the National Science Board Public Service Award. Ladner has been elected a Fellow of the American Association for the Advancement of Science (AAAS), as well as a Fellow of both the ACM and the IEEE. 

“Whether students with disabilities, or committed allies, Richard has supported and empowered others to be disability justice advocates in industry, academia and communities. Much of his mark is in the exponentially growing network of scholars, educators, and advocates that he’s supported for decades,” said Ko.

Read more about the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education here.


Allen School Ph.D. student Er-Cheng Tang earns Machtey Award for Best Student Paper at FOCS 2025 for obfuscating quantum programs


Er-Cheng Tang (right) and Mi-Ying (Miryam) Huang hold the plaque they received for the Machtey Award for Best Student Paper.
Er-Cheng Tang (right) and Mi-Ying (Miryam) Huang hold the plaque they received for the Machtey Award for Best Student Paper.

Program obfuscation, which aims to obscure the inner workings of a computer program while maintaining its functionality, is a central goal in cryptography and software protection. An emerging line of research explores the possibility of applying obfuscation to quantum programs. So far, however, researchers have only achieved obfuscation in specific quantum circuits — falling short of supporting obfuscation of general quantum input-output functionalities. 

Enter Allen School Ph.D. student Er-Cheng Tang and collaborator Mi-Ying (Miryam) Huang, a Ph.D. student at the University of Southern California. The duo recently developed the first quantum state obfuscation scheme for unitary quantum programs, which are the backbone of quantum computing, in the classical oracle model. 

“We achieve program obfuscation in the fully quantum setting for the first time, enabling software that runs on quantum data to be provably protected,” said Tang, who is advised by Allen School professors Andrea Coladangelo and Huijia (Rachel) Lin.

Tang and Huang presented their research at the 66th IEEE Symposium on Foundations of Computer Science (FOCS 2025) last December in Sydney, Australia, where they received the Machtey Award for Best Student Paper.

Building off of previous frameworks for quantum obfuscation, Tang and Huang offer several improvements in their scheme to extend obfuscation to quantum programs with quantum inputs and outputs. They start by building a strengthened cryptographic tool, called a functional quantum authentication scheme, for protecting quantum programs while enabling their execution. To support quantum programs with quantum inputs and outputs, the researchers also integrate quantum teleportation into the framework, allowing the transitions of input and output quantum states between protected and unprotected forms.

Obfuscation of quantum programs secure against quantum adversaries is a significantly more powerful extension of obfuscation in the classical world. It’s a wonderful feat achieved by two Ph.D. students.

Huijia (Rachel) LinAllen School professor

At the core of their obfuscation scheme is a novel compiler which serves two major purposes. First, it represents an arbitrary quantum circuit as a projective linear-plus-measurement quantum program, as the functional quantum authentication scheme natively works under that format. The attained projective property provides a basis for analyzing the program’s execution trace. The researchers then prove that their obfuscated unitary quantum program can only be used to compute the implemented unitary transformation and its inverse; nothing else can be derived from the obfuscated program.

“The significance of the result is that it relates obfuscation of general quantum programs — that can take as input quantum states and output quantum states — to obfuscation of classical programs. At a high level, it says that there is a generic way to bootstrap the latter to obtain the former,” said Coladangelo.

Read the full paper on obfuscation of unitary quantum programs here.