Sean Wu is an associate director who applies rigorous mathematical and computational techniques to streamline the drug development pipeline, from compound discovery to clinical trial optimization. With 11 years’ experience bridging academic research in epidemiology and computational biology and industry roles at Merck and IHME, he builds verifiable models and scalable simulations—often translating whiteboard intuition into production-ready code. His background includes developing large-scale agent-based models in R/C++, novel stochastic simulators in Julia, and public-facing forecasting tools, reflecting both deep theory and practical engineering. A PhD-trained modeler who once studied gene drive and malaria, he also brings uncommon frontline perspective from early-career healthcare and service roles that inform pragmatic, stakeholder-focused solutions.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Epidemiology & Computational Biology, Doctor of Philosophy - PhD Epidemiology & Computational Biology at University of California, Berkeley
Complex Systems Summer School, Complex Systems Summer School at Santa Fe Institute
UCEAP Exchange Program, UCEAP Exchange Program at National Taiwan University
Contributions:37 commits, 29 pushes, 1 branch in 1 year 7 months
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