Guandao Yang
Researcher at Apple
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolGuandao Yang is a researcher and PhD-trained computer scientist with 11 years of experience building data-efficient AI that understands and generates 3D worlds. Currently at Apple after a postdoc at Stanford, he blends model-based and data-driven techniques to push spatial intelligence in computer graphics, 3D vision, and physics-informed domains. His work bridges academia and industry with internships at Google, NVIDIA, and Intel and hands-on contributions to notable projects like PointFlow, where he improved documentation and UX for a prominent 3D point-cloud generation repo. Comfortable across the stack—from full-stack web development to deep learning research—he focuses on practical systems that learn from limited data. Based in Palo Alto, he leverages a rare combination of web engineering polish and rigorous research methods to make advanced 3D AI accessible and usable.
11 years of coding experience
5 years of employment as a software developer
Affiliated High School of Southern China Normal UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
Chinese, English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
html10
css10
web-development10
bootstrap9
javascript9
bootstra9
point-cloud5
computer-vision4
Programming languages (5)
Github contributions (5)
stevenygd/PointFlow
Apr 2019 - Apr 2022
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:22 commits, 1 PR, 19 pushes in 3 years
Contributions summary:Guandao primarily focused on updating and maintaining the project's website documentation. Their contributions involved modifications to the `docs/index.html` file, including changes to the layout, styling, and content presentation. The user integrated video and image assets to enhance the visual appeal and information delivery of the website. Further commits included fixing a minor bug and setting up Google Analytics tracking, indicating a focus on user experience and web development.
pytorchpoint-cloudnormalizing-flowsflowscontinuous
cornelltech/cs5785-fall-2019
Aug 2019 - Nov 2019
Contributions:38 commits, 30 pushes in 2 months
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