Xinyang Geng

Xinyang Geng is a research scientist at Google DeepMind, specializing in large-scale self-supervised learning. He completed his PhD in Computer Science at the University of California, Berkeley, where he was advised by Professor Sergey Levine. His academic background includes a double major in Computer Science and Statistics from UC Berkeley, where he also served as a graduate student researcher and research assistant at the Berkeley Artificial Intelligence Research (BAIR) Lab.2

Before joining Google DeepMind, Geng held several positions, including a Google AI Resident and internships at Google and IBM. His research focuses on reinforcement learning, and he has contributed to various projects and publications in the field, including works on automatic goal generation for reinforcement learning agents and dialogue models for academic research.134

Geng's expertise encompasses artificial intelligence, machine learning, and statistics, making him a notable figure in the research community. He is also active on platforms like Twitter, where he shares insights related to his work.5