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Resume (English only)
Academic Achievements
Published two papers: 'EgoZero: Robot Learning from Smart Glasses' and 'Feel the Force: Contact-Driven Learning from Humans'; featured in Tesla's 2021 AI Day event; lectured on GANs for Stanford's CS 236G course.
Research Experience
Contributed to the training and scaling of CSM's Implicit Shape Foundation Model and Neural Radiance Field Foundation Model; trained and shipped models for Tesla Full Self-Driving releases; trained and shipped lightweight speech vocoders for NVIDIA NeMo.
Education
BA in Mathematics from Stanford University; MS in Computer Science from Stanford University.
Background
Research interests span theoretical and applied topics in 3D world models, self-driving, speech generation, multi-task learning, self-supervised learning, computer vision, reinforcement learning, and natural language processing. Worked at Tesla Autopilot’s AI Team, developed generative speech models at NVIDIA, and co-created a PhD-level class on GANs at Stanford.