Our researchers are driving innovation across the entire hardware, software and network stack to make computer systems more reliable, efficient and secure.
From internet-scale networks, to next-generation chip designs, to deep learning frameworks and more, we build and refine the devices and applications that individuals, industries and, indeed, entire economies depend upon every day.
Research Groups & Labs
Database Group
The UW Database Group does theoretical, systems and user-centered work in multimodal database management systems; generative AI and data management; complexity of query evaluation and optimization; scalable, interactive data visualization; and more.
SAMPL
SAMPL is an interdisciplinary machine learning research group exploring problems across the system stack, including deep learning frameworks, specialized hardware for training and inference, new intermediate representations and more.
Allen School Faculty
Professor
Professor
Assistant Professor
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Centers & Initiatives
The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on campus, we lead a community of innovators in the techniques, technologies, and best practices of data science and the fields that depend on them.
AI@UW aims to push the boundaries of AI technology in service to the public good by advancing ethical, interdisciplinary AI research while fostering practical innovation to benefit society at large.
Highlights
Allen School News
Grossman, who has served as vice director of the school for the past nine years and is a recognized leader in programming languages education and research, will succeed Magdalena Balazinska at the conclusion of her term on August 17.
Allen School News
In the award-winning paper, Nirkhe and his collaborators resolved a longstanding problem in quantum complexity theory by proving that quantum proofs are computationally more powerful than classical proofs.
KUOW Soundside
Researcher Chris Takahashi describes how the Molecular Information Systems Lab encoded historical documents from the Library of Congress in synthetic DNA for a time capsule marking America’s 250th anniversary.