Sergey Levine is an Associate Professor at UC Berkeley and Research Scientist at Google. His work concerns algorithms for learning-based control, robotics, and decision making. He joined the faculty of UC Berkeley in 2016, after completing a PhD at Stanford University, a postdoc at UC Berkeley, and a year as full-time research scientist on the Google Brain team. His past research includes widely used algorithms for deep reinforcement learning, early applications of deep reinforcement learning for robotic manipulation, algorithms for meta-learning, and a variety of robotic learning results in the domains of locomotion, navigation, and dexterous manipulation.