Minkai Xu is a Ph. D. candidate at Stanford University and a Student Researcher at Google DeepMind, specializing in scalable generative AI. Supported by a Sequoia Capital Fellowship, his background includes research internships at NVIDIA, Meta, and AWS, with a focus on diffusion models and large language models for scientific applications.
His research uniquely applies generative models to solve fundamental scientific challenges, such as all-atom protein generation and crystal structure determination.
Minkai Xu
Student Researcher at Google DeepMind
San Francisco Bay Area, United States
Overview
Topics They Care About
Generative AI Models
His entire research career, from his PhD at Stanford to internships at NVIDIA and Google, is focused on developing and applying generative models, especially diffusion and energy-based models.
AI for Scientific Discovery
He has authored numerous publications on applying generative AI to solve complex problems in chemistry and biology, such as molecular conformation, protein modeling, and drug discovery.
Geometric Deep Learning
His work frequently involves developing geometric diffusion and flow-matching models specifically for generating and analyzing 3D molecular structures.
Media Appearances
Minkai has no verified media appearances
Work History
6-2025 - 9-2025
Student Researcher at Google DeepMind
6-2024 - 9-2024
Research Intern at NVIDIA
6-2023 - 9-2023
Research Intern at NVIDIA
6-2022 - 9-2022
AI Research Intern at Meta
11-2020 - 9-2021
Applied Scientist Intern at Amazon Web Services (AWS)
Education
2022 - 2025
Doctor of Philosophy - PhD from Stanford University
2016 - 2020
Bachelor's degree from Shanghai Jiao Tong University
More Information
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Location : San Francisco Bay Area, United States
Job Level : N/A
Designation : Student Researcher at Google DeepMind
