Summary
Guo-cheng Yuan is a computational biologist and professor with over a decade of experience developing computational and network approaches to gene regulation, epigenomics, and single-cell/spatial analysis across development and disease. He leads a lab at Icahn School of Medicine at Mount Sinai that integrates genomic, transcriptomic, and epigenomic data to uncover regulatory mechanisms and cellular heterogeneity, translating basic insights into disease contexts. His career spans faculty roles at Harvard and Dana-Farber, where he pioneered genome-scale nucleosome positioning methods and computational epigenomic tools for stem cell and cancer research. Trained as a PhD in Applied Mathematics, he brings rigorous quantitative modeling and dynamical systems thinking to biological questions, an approach rooted in earlier work on climate and ocean predictability. Colleagues value his collaborative track record across institutions and disciplines, and his group’s focus on spatial single-cell analysis highlights a commitment to resolving regulation in both space and time.
11 years of coding experience
16 years of employment as a software developer
PhD, Applied Mathematics, PhD, Applied Mathematics at University of Maryland