Gaoyue Zhou

Gaoyue (Kathy) Zhou is a Computer Science Ph.D. student at New York University's Courant Institute, where she is advised by Professors Lerrel Pinto and Yann LeCun. Her research spans robotics, reinforcement learning, imitation learning, and offline reinforcement learning. Prior to NYU, she completed a Master of Science in Robotics at Carnegie Mellon University and a B.A. in Computer Science and Applied Mathematics at UC Berkeley, where she worked with Professors Sergey Levine and John DeNero at the Berkeley Artificial Intelligence Research (BAIR) Lab.