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Dr. Judy Hoffman

Associate Professor in the School of Interactive Computing at Georgia Tech and a member of the Machine Learning Center. Research interests include computer vision, machine learning, domain adaptation, robustness, and fairness.

Prior to joining Georgia Tech, Dr. Hoffman was 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.

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.

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