I am a lead research scientist and activity lead at the Bosch Center for AI. I am interested in the fundamental problems behind data-efficient and safe reinforcement learning with the goal of enabling learning on real-world systems.

Previously, I completed my PhD at ETH Zurich, for which I received the ELLIS PhD award. My PhD advisors were Andreas Krause and Angela Schoellig. I held a AI fellowship from the Open Philanthropy Project, was an Associated Fellow at the Max Planck ETH Center for Learning systems and a postgraduate affiliate at the Vector institute. I was also the workflow co-chair for ICML 2018 and completed research internships at Microsoft Research and Deepmind.