Description: Doctoral student at ETH Zurich.
I am a doctoral student in the Learning & Adaptive Systems Group at ETH Zurich supervised by Prof. Andreas Krause and Dr. Katja Hofmann . I am part of the Microsoft Swiss Joint Research Center , and an associated PhD student of the ETH AI Center . During my PhD, I was an intern at DeepMind and at the Center for Human-Compatible AI, UC Berkeley . Previously, I received a master’s degree in Data Science from ETH Zurich and a bachelor’s degree in physics from University of Cologne.
My research aims to build safe, robust, and interpretable artificial intelligence (AI). Currently, I am primarily working on Reinforcement Learning from Human Feedback (RLHF) which I think is a key ingredient for building safe AI. My work in this context has two goals: first, making RLHF more sample efficient via active learning , and second, using constraint models in addition to reward models to specify tasks, particularly in contexts where safety is a critical concern. Recently, my interests have expande
I am a research scientist at Google DeepMind working on AI alignment . My goal is to develop interpretable and trustworthy AI systems that learn from human feedback.