Minkai Xu
California, United States
Summary
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RockstarMinkai Xu is a research scientist based in Palo Alto with seven years of hands-on experience advancing generative and multimodal AI across top labs including DeepMind, NVIDIA, Meta, AWS, ByteDance and Stanford. Their work spans diffusion models, large multimodal LLMs, geometric 3D dynamics, and reinforcement-driven world models—culminating in a current DeepMind role focused on Omni Intelligence. Trained through a PhD program at Stanford with prior degrees from Mila and Shanghai Jiao Tong, Minkai blends deep theoretical grounding with practical internships that pushed diffusion techniques into applications like climate modeling and graph generative tasks. Notably, they have a pattern of moving between industry research internships and cutting-edge lab roles, suggesting a strong ability to rapidly translate novel ideas into scalable model improvements.
8 years of coding experience
Github Skills (27)
molecule10
pytorch9
computational-chemistry9
diffusion-models9
flux9
arxiv9
computational-biology9
deep-learning8
image-generation8
audio8
stable-diffusion8
autoencoder8
diffusers8
neural-operator7
text2image7
Programming languages (3)
Github contributions (5)
MinkaiXu/Course-code
Oct 2018 - Aug 2019
Contributions:25 commits, 19 pushes, 1 branch in 10 months
MinkaiXu/Taximeter-Verilog
Oct 2018 - Oct 2024
Contributions:2 pushes, 1 branch in 6 years 1 month
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