My research focuses on deep reinforcement learning. During my PhD, I was fortunate to spend time as a research intern at DeepMind, Facebook AI Research and Microsoft Research.

I am interested in designing machine learning algorithms that can make robust sequential decisions in complex environments. My research spans various problems in reinforcement learning including exploration, fast adaptation to new environments, and multi-agent learning. My current focus is on understanding and improving the generalization and robustness of reinforcement learning agents.

I'm always looking for collaborations, so if you're interested in working with me, please don't hesitate to get in touch! I'm also happy to advise masters or undergrad students on projects.