Daniel Gehrig obtained his Ph.D. in 2023 from the University of Zurich (UZH) in Switzerland, while working on computer vision and robotics research with event cameras at the Robotics and Perception Group (RPG). For his work, his Ph.D. was awarded with highest distinction, and the UZH annual award. Before that he completed his master’s studies in 2018 in in Mechanical Engineering at ETH Zurich, where he achieved with the highest possible score, and was thus awarded the Willi Studer Prize. During his studies, he came into contact with event-based vision while doing his master’s thesis on event- and frame-based feature tracking at the Robotics and Perception Group for which he was awarded the ETH Medal for the best master’s thesis of the year. His work has been featured prominently in IEEE Spectrum and on popular channels like Two Minute Papers.

Daniel Gehrig’s research interests lie at the intersection of robotics, computer vision, and machine learning for event-based vision.