Eric Lee
Software Engineer at Zoox
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolEric 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.
11 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, BerkeleyDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Cornell University
English, Chinese
Github Skills (15)
bayesian9
python8
optimization7
visualization7
water6
gaussian-processes6
matrix5
floyd-warshall5
hyperparameter-optimization5
pytorch5
simulation5
driver4
simulator4
algorithm4
matrix-multiplication2
Programming languages (7)
Github contributions (5)
erichanslee/GP_Derivatives
Sep 2018 - Dec 2018
Scalable Gaussian Process Regression with Derivatives
Contributions:18 commits, 2 pushes, 1 branch in 2 months
gaussian-processes
ericlee0803/PMU-Contingency-Identification
Nov 2016 - Sep 2017
Contributions:73 pushes, 1 branch in 10 months
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