Shuo LI李硕

AI for Science · Multiphysics Simulation · Digital Twin

Assistant Professor, The University of Tokyo

Recent Posts

Feb 24, 2026 4 min read

Who Is This Guy Anyway?

A completely accurate and not-at-all exaggerated self-introduction.

intro fiction

Selected Publications

All Publications

Projects

GNN Surrogate Models for Granular Flows

Graph neural network-based surrogate models for predicting granular flow behavior in arbitrarily shaped domains.

GNN Surrogate Model

Deep Learning for Reduced-Order Modeling

Data-driven reduced-order models using POD and deep learning for gas-solid multiphase flow simulations.

POD Deep Learning
Shuo LI

About

I am an Assistant Professor at the University of Tokyo. My research focuses on AI for Science, multiphysics simulation, and digital twin technologies. I develop data-driven reduced-order models, graph neural network-based surrogate models, and computational frameworks for large-scale granular flow and multiphase systems.

我是东京大学的助理教授。研究方向为科学智能(AI for Science)、多物理场仿真和数字孪生技术。我致力于开发数据驱动的降阶模型、基于图神经网络的代理模型以及大规模颗粒流和多相流系统的计算框架。

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