Haoxiang Wang
Research Scientist at Luma AI
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolHaoxiang Wang is a research scientist in the San Francisco Bay Area with nine years of experience at the intersection of generative AI, computer vision, and applied machine learning. Currently building video generation systems at Luma AI after a research stint at NVIDIA’s Generative AI Cosmos team, he brings hands-on expertise translating foundation models into creative, spatially-aware applications. His background includes research internships at Apple, AWS, and Waymo, with published work on merging vision foundation models (SAM-CLIP) and using conditional generative models for quantum-system prediction. A PhD candidate in Electrical & Computer Engineering from UIUC with undergraduate training in physics, statistics, and CS, he blends rigorous theory with production-oriented research. Notably, he maintains an academic profile and personal website that track his evolving contributions to both open research and industrial AI products.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Electrical & Computer Engineering, Doctor of Philosophy - PhD Electrical & Computer Engineering at University of Illinois Urbana-Champaign
Github Skills (86)
gpt10
visual-question-answering10
llama10
amd10
cuda10
pytorch10
inference10
llm10
optimizer9
xpu9
llmops9
transformer9
computer-vision9
api-client9
mlops9
Programming languages (4)
Github contributions (5)
AI-secure/Meta-Neural-Kernel
Jun 2020 - Nov 2020
Contributions:8 commits, 7 pushes, 1 branch in 4 months
Haoxiang-Wang/ISR
Jan 2022 - Sep 2022
Contributions:6 commits, 8 pushes, 1 branch in 7 months
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