Bertrand has focused on AI for robotics since his Ph.D. in the field. He brings experience from engineering and research roles at JPL, Zoox, Toyota Research Institute, and Waymo. His hands-on work has spanned the full range of robotics systems, from classical to end-to-end learned stacks, including perception, planning, controls, and the offline ML pipelines that support them. As part of his transition to NVIDIA Research, his current focus is on end-to-end autonomous vehicle models built on Recurrent State Space Models (RSSMs) and refined with Reinforcement Fine Tuning.
