John Canny

John Canny is the Paul and Stacy Jacobs Distinguished Professor of Engineering at UC Berkeley, with his office located in Soda Hall. He teaches courses including CS188: Introduction to Artificial Intelligence. His research spans artificial intelligence, human-computer interaction, and privacy-preserving systems, with notable projects like the BID Data Project.

Research interests focus on developing trustworthy computing environments through privacy-enhancing solutions, distributed systems, and socially-informed design. His work integrates machine learning with human-centered approaches to address challenges in ubiquitous computing and digital equity.

Recent publications (2020-2025) show strong emphasis on multimodal AI systems, language-vision integration, and ethical machine learning. The research demonstrates increasing attention to generative models, self-supervised techniques, and applications in social computing domains.

Awards include the Paul and Stacy Jacobs Distinguished Professorship. He has advised over 30 PhD students who now hold positions in academia and industry. His research group receives administrative support through grant coordinator Lauren Mitchell.

Leads the Berkeley Interactive Design Group, conducting research in Soda Hall. The group focuses on human-AI interaction, privacy frameworks, and educational technology.