Huy Vo is a Senior Research Investigator and applied mathematician with a decade of experience developing quantitative methods for medical and life sciences, currently advancing pharmacometrics and QSP/PBPK research at Bristol Myers Squibb. He specializes in uncertainty quantification, stochastic modeling, and optimal experiment design, and implements these methods using a broad numerical toolbox—Krylov methods, MCMC/SMC, and efficient ODE solvers—across Python, Julia, MATLAB, FORTRAN and C++ with parallel OpenMPI workflows. Huy’s work spans both research and production: he calibrates virtual populations, maintains internal modeling tools, and delivers training to interdisciplinary teams, translating deep theory into practical pharmacometric solutions. His academic roots include a Ph.D. in Mathematics and postdoctoral development of computational tools for single-cell experiment design, reflecting a rare combination of rigorous theory and applied bioinformatics. Colleagues value his ability to demystify complex probabilistic methods for modelers and to operationalize advanced algorithms in regulated drug-development settings.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Alabama
Bachelor (Honor), Mathematics, A+, Bachelor (Honor), Mathematics, A+ at VNUHCM - University of Science
Library for parallel direct solution of the Chemical Master Equation (CME).
Contributions:5 releases, 26 PRs, 63 pushes in 3 years 6 months
chemical-master-equationmpicmeequationparallel
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