Guowei Wei

Guowei Wei is a MSU Research Foundation Professor in the Department of Mathematics and the Department of Biochemistry & Molecular Biology at Michigan State University. He holds a dual appointment in the BioMolecular Science Gateway and is affiliated with the Wei Lab. His research focuses on integrating topological data analysis, machine learning, and computational methods to address complex problems in biochemistry, biophysics, and materials science.

Dr. Wei’s work spans multiple disciplines, including topological machine learning for protein-ligand interactions, persistent homology applications in molecular flexibility analysis, and AI-driven drug discovery. He develops novel algorithms combining algebraic topology with deep learning to model biological systems and material properties. His recent contributions include advancements in predicting protein binding affinities, analyzing viral mutations, and optimizing drug candidates for opioid use disorder and addiction treatments.

He teaches advanced graduate courses (MTH 890/990) and maintains an active research lab. His methodologies bridge mathematical theory with practical applications in computational biology and healthcare, leveraging tools like the Poisson-Boltzmann equation and transformer networks for molecular analysis. Dr. Wei’s work emphasizes interdisciplinary approaches to solve challenges in drug design, pathogen evolution, and systems biology.

Key contributions include topological deep learning frameworks for biomedical data, persistent Laplacian techniques for scarcely labeled data classification, and AI models for predicting mutation impacts on protein function. His research has significant implications for personalized medicine, pandemic preparedness, and understanding complex biological networks.