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.
Programming Languages & Software Engineering Group (PLSE)
The Programming Languages and Software Engineering Group advances fundamental research and practical applications in programming environments, program analysis, language design, synthesis, compilers, testing, verification and security.
Faculty Members
Centers & Initiatives
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.
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
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.
GeekWire
At the Allen School’s Research Showcase and Open House, school leaders celebrated the work of faculty and student researchers — and offered a blueprint for collaboratively tackling a set of human-centered problems for even greater impact.
Allen School News
Kasikci was recognized for his work developing techniques for systems that are both efficient and dependable, which can help prevent bugs that can lead to data loss, security vulnerabilities and costly critical infrastructure failures.