Eric Chan is a Chief Scientist and generative-3D vision specialist with 11 years of experience bridging cutting-edge research and product-focused engineering from Palo Alto. He has driven influential work on 3D generative models at NVIDIA—co-authoring papers like EG3D (CVPR 2022 Oral) and GeNVS (ICCV 2023 Oral)—and continues to translate research into impact through leadership roles at Rhoda AI and World Labs. A Stanford PhD candidate with prior internships at Google and JPL, he blends deep learning, graphics, and systems engineering to ship practical features (e.g., OCR for Google Lens) and simulation tools for robotic platforms. Beyond publications, his GitHub-facing ethos—“crafting experiences on the web and beyond”—reflects a curiosity for deployable, user-facing systems as well as foundational models.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Mechanical Engineering, Bachelor of Science - BS, Computer Science, Mechanical Engineering at Yale University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Contributions:14 pushes, 1 branch, 2 issues in 4 years 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.