Published works in top-tier venues such as CVPR, ICCV, NeurIPS, ICRA, and IROS; achieved the top spot on the Waymo Sim Agent Challenge leaderboard.
Research Experience
Former research intern at NVIDIA’s Autonomous Vehicle Research Group (AVG); first employee at Seervision, a Swiss start-up, where he developed the cinematographic tracking pipeline and contributed to seed and Series A funding rounds.
Education
Ph.D. from the Computer Vision Lab (CVL) at ETH Zurich, supervised by Prof. Luc Van Gool; B.Sc. and M.Sc. in Information Technology and Electrical Engineering from TU Munich and ETH Zurich, specializing in control and system theory.
Background
Research interests include imitation learning, reinforcement learning, world models, post-training of next-token prediction models, and their applications to autonomous vehicles and robotics. Worked as a research scientist at Huawei Zurich Research Center, focusing on IL and RL algorithms for next-generation smartphone cameras.
Miscellany
Recipient of DAAD (2012-2016) and ESOP (2016-2018) scholarships, completed both degrees with a top 1 ranking.