Minkai Xu in

Minkai Xu

Student Researcher at Google DeepMind
📍 San Francisco Bay Area, United States

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.

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Experience
1 Years
Current Role
Student Researcher
Location
San Francisco Bay Area, United States
Personality Overview
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Priorities

Topics Minkai cares 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.
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Career

Work history

6-2025 - 9-2025
Student Researcher
Google DeepMind
6-2024 - 9-2024
Research Intern
NVIDIA
6-2023 - 9-2023
Research Intern
NVIDIA
6-2022 - 9-2022
AI Research Intern
Meta
11-2020 - 9-2021
Applied Scientist Intern
Amazon Web Services (AWS)
In the press

Media appearances

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Education
2022 - 2025
Doctor of Philosophy - PhD
Stanford University
2016 - 2020
Bachelor's degree
Shanghai Jiao Tong University
Social presence
in

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