My research interests include few-shot, incremental, and adaptive learning algorithms; model-based and model-free reinforcement learning; and safe learning control. I'm also broadly interested in representation learning in robotics, Bayesian deep learning, and decision-making and control techniques leveraging these tools. Broadly speaking, I'm interested in enabling robots to learn from their environment continuously and safely.