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.

I am currently the Workflow Co-chair for ICML 2018, a postgraduate affiliate at the Vector institute and an Associated Fellow at the Max Planck ETH Center for Learning systems.

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 completed my BSc and MSc in mechanical engineering at ETH Zurich and conducted the research for my master thesis at the University of Toronto.

Students:  Please contact me if you're interested in doing a master thesis at ETH or in Toronto.