Jiahui Chen

I am an assistant professor in the Department of Mathematical Sciences at the University of Arkansas, Fayetteville. Before joining Arkansas, I was a visiting assistant professor in the Department of Mathematics at Michigan State University, where I worked with Prof. Guo-Wei Wei. I received my Ph.D. in mathematics from Southern Methodist University 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.

Students interested in my research are welcome to get in touch.

Current Funding

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