Dr. Andrea Zanette

Biography

Andrea Zanette is an Assistant Professor in the College of Engineering at Carnegie Mellon University. His research interests focus on foundational aspects of reinforcement learning and its applications in decision-making under uncertainty. Prior to joining CMU, he was a postdoctoral scholar in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he worked with esteemed faculty members Martin Wainwright and Peter Bartlett. He completed his Ph.D. in Computational Mathematical Engineering at Stanford University from 2017 to 2021, under the guidance of Professors Emma Brunskill and Mykel J. Kochenderfer. During his doctoral studies, he collaborated with labs at Facebook Artificial Intelligence Research and Microsoft Research. His dissertation, which explored modern challenges in reinforcement learning, particularly in areas such as exploration, function approximation, adaptivity, and learning from offline data, was recognized with the Gene Golub Outstanding Dissertation Award from his department. He holds a bachelor's degree in mechanical engineering from a reputable institution.

Research Interests