I am a doctoral student in the Learning & Adaptive Systems Group at ETH Zurich supervised by Prof. Andreas Krause. I’m co-supervised by Dr. Katja Hofmann as part of the Microsoft Swiss Joint Research Center.
Before starting my PhD, I was a visiting student researcher at the Center for Human-Compatible AI of the University of California, Berkeley, and before that I received a master’s degree in Data Science from ETH Zurich.
Before working on machine learning, I received a bachelor’s degree in physics from the University of Cologne, working on computational condensed matter physics with Prof. Simon Trebst.
My research has the goal to build robust intelligent systems that interact with the world. Currently, I am mainly interested in using reinforcement learning (RL) to achieve complex goals in the real world. RL has been successfully applied to situations with narrow and well-defined goals, such as in video games; but this is generally not given in the real world. To address this, I am interested in how RL systems can learn about complex goals from human feedback.