Summary
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.
7 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Bachelor's degree at Shanghai Jiao Tong University
Master's degree, Machine Learning, Master's degree, Machine Learning at Mila - Quebec Artificial Intelligence Institute
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University