Shuo LI

About

Shuo Li is an Assistant Professor at The University of Tokyo, Japan. His research primarily focuses on reduced-order modeling, computational fluid dynamics, and the application of deep learning in fluid mechanics. He has published recent articles on topics including high-speed simulations of solid–fluid systems and the development of surrogate models for granular flows. His work aims to enhance the understanding and efficiency of complex fluid systems.