I am a lead research scientist at Microsoft working on robot learning and internet-scale foundation models. I am also an external lecturer at ETH Zurich, leading a new course on Robot Learning. Previously, I was a Postdoctoral Scholar at UC Berkeley working with Prof. Sergey Levine. I received my PhD in Computer Science (summa cum laude) in 2023 from the Freiburg University supervised by Prof. Dr. Wolfram Burgard. My research has received several Best Paper awards and nominations at venues like ICRA, RA-L, and RSS, as well as recognition as an RSS Pioneer in 2022. Additionally, I serve the community as an Area Chair for CoRL and as an Associate Editor for venues like T-RO, RA-L, ICRA, and IROS. During my PhD, I also spent time at NVIDIA AI interning with Dieter Fox.
Postdoc in Computer Science, 2025
UC Berkeley
PhD in Computer Science, 2023
University of Freiburg