James Fogarty is an Assistant Professor of Computer Science & Engineering at the University of Washington. He is also a core member of the DUB Group, the University of Washington's cross-campus initiative advancing Human-Computer Interaction and Design research and education.

His broad research interests are in Human-Computer Interaction, User Interface Software and Technology, and Ubiquitous Computing. His focus is on developing, deploying, and evaluating new approaches to the human obstacles surrounding widespread everyday adoption of ubiquitous sensing and intelligent computing technologies. He has recently examined these questions in the context of the CueFlik system supporting mixed-initiative end-user interactive concept learning in Web image search, the Kylin system and mixed-initiative information extraction, the GESTALT system addressing obstacles to software developer adoption of statistical machine learning techniques, and the development of practical and unobtrusive approaches to whole-home activity sensing.

He received his Ph.D. from the Human-Computer Interaction Institute at Carnegie Mellon University, where he worked with Scott E. Hudson. He received his B.S. in Computer Science at Virginia Tech, where he worked with John Carroll and Mary Beth Rosson.