Jie Tan

Jie Tan is a Director and Principal Research Scientist at Google DeepMind, where he leads the Robot Mobility and Embodied Reasoning teams, and an adjunct professor at Stanford University. His research focuses on building robot foundation models and applying deep reinforcement learning to robotics, with interests spanning locomotion, navigation, manipulation, simulation, and sim-to-real transfer. He is known for his work on legged locomotion, including teaching quadrupedal robots to walk via deep reinforcement learning, and for developing robot foundation models such as RT-2 and SayCan. He received his PhD in computer science from Georgia Tech in 2015, where his doctoral research focused on physically-based character animation.