One paper accepted to the NeurIPS Datasets and Benchmarks Track and two accepted to CoRL (one as an oral presentation). Additionally, four new papers posted to arXiv, developing unified AV data formats, language-to-simulation frameworks, and object representations from partial views.
Research Experience
Serves as a Senior Research Scientist and Manager in NVIDIA's Autonomous Vehicle Research Group, focusing on behavior modeling, simulation, and end-to-end autonomy.
Education
Ph.D. in Aeronautics and Astronautics from Stanford University in 2021, supervised by Marco Pavone; M.S. in Computer Science from Stanford University in 2018; B.A.Sc. in Engineering Science from the University of Toronto in 2016.
Background
Currently a Manager in NVIDIA's Autonomous Vehicle Research Group. His research interests include novel end-to-end AV architectures, sensor and traffic simulation, AI safety, and the thoughtful integration of foundation models in AV development.