Judy Hoffman

Dr. Judy Hoffman

Associate Professor of Computer Science in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine. I am also an Adjunct Faculty at the School of Interactive Computing at Georgia Tech. Research interests include building robust, reliable, and efficient machine learning systems, with special focus on visual input modalities.

Prior to joining UCI, Dr. Hoffman was an Associate Professor at Georgia Tech, a Visiting Research Scientist at Facebook AI Research and a postdoctoral scholar at Stanford University and UC Berkeley. She received her PhD from UC Berkeley, EECS in 2016 where she was a member of BAIR and BDD and advised by Trevor Darrell.

Google Scholar | CV | Github | Twitter | Bio

Research Statement: My research aims to enable learning based AI systems that can reliably benefit a diverse set of people and applications, even under resource constraints. I focus on algorithms for data efficient adaptation, reducing computation time, and building benchmarks and tools to better understand and mitigate model errors.