Our work in human-centered computing explores and enhances the ways in which people and communities engage with and experience technology.
Our research considers the personal, educational, cultural, and ethical implications of innovation. Drawing upon techniques from human-computer interaction, learning sciences, sensing and more, we aim to maximize the potential benefits of technology while minimizing potential harms to individuals, groups and society.
Groups & Labs
Make4all Group
Make4all Group creates solutions that empower people with disabilities to accomplish their goals, applying technologies such as 3D printing, knitting and other fabrication technologies to improve inclusion in and accessibility of our digital future.
UbiComp Lab
The Ubiquitous Computing (UbiComp) Lab develops innovative systems for health sensing, low-power sensing, energy sensing, activity recognition and novel user interface technology for real-world applications.
Allen School Faculty
Professor
Professor
Associate Teaching Professor
Assistant Professor
Centers & Initiatives
The Tech Policy Lab is a unique, interdisciplinary collaboration at the University of Washington that aims to enhance technology policy through research, education, and thought leadership. Founded in 2013 by faculty from the Paul G. Allen School of Computer Science & Engineering, Information School, and School of Law, the Lab aims to bridge the gap between technologists and policymakers and to help generate wiser, more inclusive tech policy.
DFab is a network of researchers, educators, industry partners, and community members advancing the field of digital fabrication at UW and in the greater Seattle region.
Highlights
Allen School News
Allen School faculty recognized 2025 alumni Wei and Zhu for their outstanding doctoral dissertation research identifying new methods for tackling online harassment introducing more secure techniques for generating digital signatures, respectively.
Allen School News
Itani, who works with Allen School professor Shyam Gollakota in the Mobile Intelligence Lab, was recognized for exceptional early-career research advancing AI systems for “superhuman” hearing.
HearingTracker
A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.