I am a Ph.D. student at the Learning & Adaptive Systems Group at ETH Zurich. My advisor is Andreas Krause and I am co-advised by Angela Schoellig at the University of Toronto.

My goal is to enable robots to safely and autonomously learn in uncertain real-world environments. This requires new reinforcement learning algorithms that respect the physical limitations and constraints of dynamic systems and provide theoretical safety guarantees.

I currently hold an AI fellowship from the Open Philantropy Project and am an Associated Fellow at the Max Planck ETH Center for Learning systems. Previously I was the Workflow Co-chair for ICML 2018 and a postgraduate affiliate at the Vector institute. I have completed research internships at Microsoft Research and Deepmind.