Chief Scientist - Physical AI

Work at the forefront of Embodied AI and Spatial AI, collaborating with researchers and engineers to solve real-world challenges and bridge cutting-edge research with scalable deployment.

Develop state-of-the-art approaches in Physical AI, including robotic foundation models, world models, multimodal representation learning, reasoning and planning, as well as imitation and reinforcement learning with integrated low-level control.

Translate advanced problem formulations and model designs into efficient, production-grade systems, enabling rapid iteration through large-scale experimentation.

Design and execute experiments across both simulation and real-world robotic platforms, covering data collection, evaluation, and performance analysis.

Drive closed-loop learning by integrating data, models, and real-world feedback to continuously improve system robustness and adaptability.

Collaborate cross-functionally across research, infrastructure, and robotics systems to ensure end-to-end system coherence and scalability.

Contribute to and lead high-impact research outputs, including patents and publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA.