Annie Xie

Annie Xie is a research scientist at Google DeepMind, where she works on building agents for the physical world through embodied and multimodal reasoning. She completed her Ph.D. in computer science at Stanford University in 2024, advised by Chelsea Finn, with a thesis focused on reinforcement learning algorithms for efficient exploration and adaptation in dynamic environments. She is known for her research in robot learning, deep reinforcement learning, and imitation learning for visual robotic manipulation.