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
Security and Privacy Research Lab
The Security and Privacy Research Lab works on a variety of topics, ranging from studying and addressing security and privacy risks in existing technologies, to anticipating future risks in emerging technologies.
Bespoke Silicon Group
The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.
Allen School Faculty
Professor & Director
Associate Professor
Assistant Teaching Professor
Professor
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.
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
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Researcher Chris Takahashi describes how the Molecular Information Systems Lab encoded historical documents from the Library of Congress in synthetic DNA for a time capsule marking America’s 250th anniversary.
UW News
Professors David Kohlbrenner and Franziska Roesner (Ph.D., ‘14) of the Allen School’s Privacy & Security Research Lab found that browser agents are susceptible to cyberattacks by violating the same-origin policy, a cornerstone of modern web security that has safeguarded users for 30 years.
UW News
A team led by Allen School professor Vikram Iyer and Ph.D. student Zhihan Zhang published a paper in Nature Electronics describing a system that can assemble life cycle assessments, or LCAs, for electronic devices in about a minute with the help of AI agents.