I am a research scientist at the Bosch Center for AI near Stuttgart, Germany. Previously I completed my PhD at the Learning & Adaptive Systems Group at ETH Zurich, for which I received the ELLIS PhD award. During my PhD I was advised by Andreas Krause and was co-advised by Angela Schoellig at the University of Toronto.
My goal is to enable dynamic systems 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 held a AI fellowship from the Open Philanthropy Project and was 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.
Talks and Lectures
Guest lecture on Safe Bayesian Optimization for CS 159: Data-Driven Algorithm Design at Caltech.
ETH Day 2018 short presentation (in German)
Invited talk at the Workshop on Reliable AI 2017
NIPS/CoRL 2017: "Safe Model-based Reinforcement Learning with Stability Guarantees".