Jiahui Chen

I am an assistant professor in the Department of Mathematical Sciences at the University of Arkansas, Fayetteville, Arkansas. Prior to that I was a visiting assistant professor in the Department of Mathematics at Michigan State University, East Lansing, Michigan working with Prof. Guo-Wei Wei. I have my Ph.D. at Southern Methodist University, Dallas, Texas in 2019, advised by Prof. Weihua Geng.

I develop topological and geometric data analysis methods for biological problems at the molecular level, with a focus on integrating deep learning for predictive modeling. My current work centers on binding affinity prediction for protein–protein interactions (PPI) and on mutation‑induced energy changes.

On the numerical and computational side (briefly): I use and develop fast multipole methods (FMM), treecodes, boundary element methods, and GPU‑accelerated parallel computing.

For students, who are interested in my research, please feel free to contact me.

Current Funding Support:

I am currently supported by NSF-DMS 2514195 and NIH-R01 AI164266.

My main research interests:

• Topological and Geometric Data Analysis (TDA/GDA)
• Machine Learning / Deep Learning for molecular biophysics
• Protein–Protein Interactions and mutation impacts
• Virology: SARS‑CoV‑2, vaccines, and antibodies
• Numerical/Computational (condensed): Treecode & FMM; Boundary Element Methods; GPU/parallel computing