Dr. Haipeng Luo

Biography

Haipeng Luo is an Associate Professor and the IBM Early Career Chair in the Thomas Lord Department of Computer Science at the University of Southern California. He obtained his Ph.D. from Princeton University in 2016 and subsequently worked as a postdoctoral researcher at Microsoft Research. His research interests focus on developing practical machine learning algorithms with strong theoretical guarantees, emphasizing areas such as online learning, bandit algorithms, reinforcement learning, and game theory. Dr. Luo has received several prestigious awards, including the NSF CAREER award, NSF CRII award, Google Faculty Research Award, and Google Research Scholar Award, as well as accolades for his papers at conferences like ICML, NeurIPS, and COLT. His recent work centers on creating efficient, adaptive, and robust algorithms for online learning problems, particularly those requiring the learning of partial information, and he has published numerous papers in these domains.

Research Interests

Experience