Bio
I work at the intersection of mobile robotics and machine learning, and specialize in applications within autonomous driving. I'm currently an Engineering Manager leading 15 engineers (70% PhD, 30% MSc) across 2 teams that are responsible for all machine learning prediction & planning autonomy software at Torc Robotics, which makes self-driving trucks and is a subsidiary of Daimler Trucks, the world's larget truck manufacturer.

I've published two papers within autonomous driving at top AI conferences: one at CVPR 2023 on multimodal automotive scene understanding using sound to augment vision and another at ICLR 2022 (spotlight paper; 176 selected of 3391) on interaction-aware motion prediction of traffic.

I have a master's in electrical engineering, robotics, and machine learning from Technical University of Denmark, Nanyang Technological University, and the German Research Center for Artificial Inteligence. My master's thesis focuses on autonomous navigation of a rover in featureless extraterrestrial environments like that on Mars using just a Lidar sensor. It was concluded in August 2016 at DFKI in Bremen, Germany.