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Dr. He Li developed multiscale computational models based on physics laws using various numerical methods, such as molecular dynamics, dissipative particle dynamics and spectral element method, to simulate biological systems that span multiple spatial scales, including molecular level, protein level, sub-cellular level, cellular level, multi-cell systems, vasculature and organ systems. His work has demonstrated that computational modeling can bridge the gap between the microscopic and macroscopic physiological processes, and provide innovative approaches to study key problems in biology, medicine and biomedical engineering, such as building mechanistic models to investigate the pathogenesis of human diseases and developing predictive models to examine the existing hypotheses and derive new hypotheses to steer experimental and computational studies.

Dr. He Li’s current research interest is to employ AI techniques to develop advanced multiscale models and build predictive AI models that can assimilate data from different sources (e.g., biophysical, biochemical, genomics, proteomics data), to improve digital health technologies.