I currently hold an AI fellowship from Open Philantropy Project and am the Workflow Co-chair for ICML 2018. I am also 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.
Invited talk at the Workshop on Reliable AI 2017
NIPS/CoRL 2017: "Safe Model-based Reinforcement Learning with Stability Guarantees".