Minkai Xu

Research Scientist at Google DeepMind

Palo Alto, California, United States
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Summary

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Minkai 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.
code7 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Bachelor's degree at Shanghai Jiao Tong University
bookMaster's degree, Machine Learning, Master's degree, Machine Learning at Mila - Quebec Artificial Intelligence Institute
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
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Stackoverflow

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Github Skills (22)

flux10
pytorch9
stable-diffusion9
audio9
deep-learning8
image-generation8
diffusion-models8
diffusers8
chainer8
text2image7
periodic7
generative7
jax7
graph6
variational-autoencoder6

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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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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Minkai Xu - Research Scientist at Google DeepMind