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
Computer Systems Lab
The Computer Systems Lab works on research covering a number of areas in operating systems, distributed systems, computer architecture and security.
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.
Faculty Members
Centers & Initiatives
Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.
MEM-C is a NSF Materials Research Science and Engineering Center that integrates materials innovations with theory and computation to advance spin-photonic nanostructures and elastic layered quantum materials, aided by an “AI Core” that integrates artificial intelligence-driven materials discovery.
Highlights
Allen School News
The fellowship will support Zhang’s work in sustainable ubiquitous computing, including the development of recyclable electronics and leveraging artificial intelligence to estimate carbon footprints and provide personalized health insights.
Allen School News
In a Q&A, professor Kurtis Heimerl and postdoc Esther Han Beol Jang (Ph.D., ‘24) discuss their work with residents of two Seattle tiny house villages on how they can leverage smart technologies to improve living conditions, balanced against concerns such as cost and continuity of deployment.
Allen School News
To help make datasets easier to explore, in 2015, a team of researchers led by Heer introduced Voyager, a system that automatically generates and recommends charts and visualizations based on statistical and perceptual measures — which earned the InfoVis 10-Year Test of Time Award at IEEE VIS 2025.