Allen School researchers are at the forefront of exciting developments in AI spanning machine learning, computer vision, natural language processing, robotics and more.
We cultivate a deeper understanding of the science and potential impact of rapidly evolving technologies, such as large language models and generative AI, while developing practical tools for their ethical and responsible application in a variety of domains — from biomedical research and disaster response, to autonomous vehicles and urban planning.
Groups & Labs

Interactive Data Lab
The Interactive Data Lab aims to enhance people’s ability to understand and communicate data through the design of new interactive systems for data visualization and analysis.

Robotics Group
Doing ground-breaking work in mechanism design, sensors, computer vision, robot learning, Bayesian state estimation, control theory, numerical optimization, biomechanics, neural control of movement, computational neuroscience, brain-machine interfaces, natural language…
Faculty Members
Centers & Initiatives

Center for AI & Culture
The Center for AI & Culture advances research to better understand and design AI systems for people with diverse cultural backgrounds.

Institute for Foundations of Data Science (IFDS)
IFDS organizes its research around four core themes: complexity, robustness, closed-loop data science, and ethics and algorithms. By making concerted progress on these fundamental fronts, IFDS aims to lower several of the barriers to better understanding of data science methodology and to its improved effectiveness and wider relevance to application areas.
Highlights
Allen School News

The ACM Special Interest Group on Computer-Human Interaction recognized Fogarty’s leadership and contributions to human-computer interaction research including ubiquitous computing, interactive machine learning, accessibility and personal health informatics.
GeekWire

The company, co-founded by Allen School professor Joshua Smith, received its second major 510(k) clearance from the U.S. Food and Drug Administration for its Paradigm AI surgical guidance platform to include intraoperative measurements — enabling surgeons to measure success in real-time.
Allen School News

For her groundbreaking research on explainable AI for biology and medicine, Lee, who directs the UW’s AI for bioMedical Sciences Lab, was named a Fellow of the International Society for Computational Biology (ISCB).