Bio

Judy Hoffman is an assistant professor in the School of Interactive Computing whose expertise shines at the cutting edge of computer vision and machine learning. With a passion for advancing the frontiers of technology, Judy's research focuses on domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. At the heart of Judy's work is a mission to bridge the gap between emerging technologies and the real world. She crafts innovative learning algorithms that empower machines to adapt and generalize information in an unsupervised or semi-supervised manner, all while navigating the complexities of real-world variation and scale. Prior to joining Georgia Tech, she was a research scientist at Facebook AI Research. She holds a Ph.D. in electrical engineering and computer science from the University of California, Berkeley, and she did postdoctoral work at Stanford University and UC Berkeley.