Nathan Zhao is a Staff ML Scientist at XPENG, focusing on generative AI for humanoid robotics since April 2024. Previously, Nathan held the position of Senior Applied Research Scientist II at Cruise, where efforts centered on ML-driven collision risk assessment and motion prediction from February 2022 to April 2024. A PhD student at Stanford University from October 2016 to February 2022, Nathan specialized in coding numerical methods for electrodynamics simulations, plasmonics, photonics, and machine learning. Additional experiences include internships at Akuna Capital and Facebook, as well as research roles at Columbia University and Caltech, enhancing expertise in advanced statistical analysis, neural networks, and materials characterization. Nathan holds a PhD in Applied Physics from Stanford University and a BA in Physics/Mathematics from Columbia University.
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