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.
Computer Systems Lab
The Computer Systems Lab works on research covering a number of areas in operating systems, distributed systems, computer architecture and security.
Faculty Members
Centers & Initiatives
Molecular Engineering Materials Center (UW-MEMC)
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.
eScience Institute
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.
Highlights
GeekWire
OctoAI, a UW startup that sells tools to help build and run generative AI models more efficiently, has been acquired by chip giant Nvidia. Allen School professor and OctoAI co-founder Luis Ceze joined Nvidia following the deal, which is the latest AI-related acquisition for the chipmaker.
Allen School News
In a paper published in the journal Nature, a team of researchers in the Molecular Information Systems Lab introduced a new approach to long-range, single-molecule protein sequencing by demonstrating how to read each protein molecule by pulling it through a nanopore sensor.
Allen School News
In 2014, René Just and Michael Ernst demonstrated that mutants function as an effective substitute for real defects in software testing. Their work, which spawned a robust line of follow-on research, earned the Most Influential Paper Award at FSE 2024.