He Li

He Li is an assistant professor in the School of Chemical, Materials, and Biomedical Engineering at the University of Georgia. He earned his Ph.D. in Mechanical Engineering from the University of Connecticut under the supervision of Prof. George Lykotrafitis, and completed his postdoctoral training in the Division of Applied Mathematics at Brown University.   

Li’s expertise lies in developing multiscale computational models grounded in the fundamental laws of physics. Utilizing various numerical methods—including molecular dynamics, dissipative particle dynamics, and the spectral element method—he simulates biological systems across multiple spatial scales, from the molecular and protein levels to sub-cellular, cellular, multi-cellular, vascular, and organ systems. His research has demonstrated that computational modeling can bridge the gap between microscopic and macroscopic physiological processes, providing innovative approaches to key challenges in biology, medicine, and biomedical engineering.  

Li’s work includes developing mechanistic models to investigate the pathogenesis of human diseases and creating predictive models to test existing hypotheses and generate new ones, guiding both experimental and computational studies. His current research focuses on integrating AI techniques to develop advanced multiscale models and predictive AI systems capable of assimilating diverse data sources—including biophysical, biochemical, genomic, and proteomic data—to enhance digital health technologies. His research has been supported by the National Institutes of Health, and the National Science Foundation.