Dr. Andrea Zanette

Biography

Andrea Zanette is an incoming assistant professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. His research interests focus on the foundations of reinforcement learning, a sub-area of machine learning that addresses decision-making under data uncertainty. Prior to joining CMU, Andrea was a postdoctoral scholar in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he collaborated with Martin Wainwright and Peter Bartlett. He completed his PhD from Stanford University in 2021, where he was advised by Professors Emma Brunskill and Mykel J. Kochenderfer. His PhD dissertation investigated modern challenges in reinforcement learning, including exploration, function approximation, adaptivity, and learning from offline data, and he was awarded the Gene Golub Outstanding Dissertation Award for his work. Andrea holds a bachelor's degree in mechanical engineering.

Research Interests