Summary
Eric Lee is a software engineer at Zoox with a decade of experience blending AI research and production engineering, most recently in system design and mission assurance for autonomous vehicles. He holds a PhD in Computer Science from Cornell and previously worked as an AI research scientist at Intel, where he focused on decision-making under uncertainty, black-box optimization, and productionizing numerical optimization methods. Eric’s background includes impactful internships at Amazon and SigOpt developing cost-aware and reinforcement learning–infused hyperparameter tuning methods, and earlier work on high-performance linear algebra at Cray. Based in Berkeley, he brings academic rigor to practical problems, publishing and open-sourcing tools to accelerate ML pipelines and applying those techniques to materials and battery discovery—an uncommon cross-disciplinary application of ML research.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Applied Mathematics, Bachelor of Arts (B.A.), Applied Mathematics at University of California, Berkeley
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Cornell University
English, Chinese