I work on frontier AI for the physical world at Project Prometheus in Zürich. My research focuses on building general-purpose intelligent systems that can understand, reason about, act in and learn continuously from the physical world, with a particular focus on robot learning. I am especially interested in how these systems can accelerate scientific discovery, engineering and invention. I am also an external lecturer at ETH Zurich, where I lead the course on Robot Learning.

Previously, I worked on robot learning and internet-scale foundation models as a Lead Research Scientist at Microsoft, and as a Postdoctoral Scholar at UC Berkeley with Prof. Sergey Levine. I received my PhD in Computer Science (summa cum laude) from the University of Freiburg in 2023, supervised by Prof. Dr. Wolfram Burgard. My research has received several Best Paper awards and nominations at ICRA, RA-L, and RSS, and I was selected as an RSS Pioneer in 2022. I serve as an Area Chair for CoRL and as an Associate Editor for T-RO, RA-L, ICRA, and IROS. During my PhD, I spent time at NVIDIA AI with Dieter Fox.