Summary
Youfang Cao is a senior pharmacometrics leader with over a decade of experience translating mechanistic biology into actionable quantitative models for drug discovery and development across neurology, infectious disease, and oncology. He designs and leads teams building multi-scale QSP and PK/PD models that inform dose selection, trial design, and regulatory strategy, and increasingly integrates AI/ML to accelerate model-informed drug development. His background spans academic theoretical advances—stochastic and multiscale modeling, the Accurate Chemical Master Equation—and industry-impacting clinical pharmacology work at Merck and Eisai, giving him rare depth from first-principles modeling through regulatory submission. A prolific author with 50+ peer-reviewed papers, he also has hands-on experience building HPC and bioinformatics systems early in his career, reflecting both computational rigor and pragmatic delivery.
9 years of coding experience
23 years of employment as a software developer
M.Sc., Biochemistry and Molecular Biology, M.Sc., Biochemistry and Molecular Biology at Shanxi University
Postdoctoral Research Associate, Mathematical Biology, Postdoctoral Research Associate, Mathematical Biology at Los Alamos National Laboratory
Postdoctoral Research Associate, Mathematical Biology, Postdoctoral Research Associate, Mathematical Biology at University of Illinois Chicago
PhD, Biomedical Engineering, PhD, Biomedical Engineering at Shanghai Jiao Tong University
English, Chinese