I lead the Learning, Embodied Autonomy, and Forecasting (LEAF) lab. We aim to develop broadly useful autonomous systems that safely operate in complex environments by advancing the algorithmic foundations of robot learning. Our research develops efficient principled algorithms with methods from model-based and model-free reinforcement learning, imitation learning, information theory, and deep learning.