Summary
Jiahui Chen is an assistant professor and computational biochemist with a decade of experience applying machine learning, topology, and differential geometry to protein design, protein–protein and protein–ligand interactions. She has led or co-led over $3M in funding from NIH, NSF, and industry, holds a U.S. patent for ML-driven electrostatic analysis, and has authored 31+ papers with 2,700+ citations in top journals. Her work blends rigorous numerical methods (Treecode/FMM, Poisson–Boltzmann solvers) with modern ML—developing GNNs, GANs, and models for SARS-CoV-2 variant prediction and protein degradation—while contributing code to community tools like APBS. An experienced instructor and advisor, she teaches senior ML courses and has supervised PhD and undergraduate researchers, uniquely bridging deep algorithmic engineering with real-world biological problems.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at Xi'an Jiaotong-Liverpool University
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Southern Methodist University
Chinese, English