Summary
George Yon is a Research Assistant Professor of Data Science and senior data scientist with 14+ years building high-performance simulation frameworks and reproducible scientific software that power epidemiology and computational social science. With a PhD in Biostatistics, he combines statistical computing, R/C++ optimization, and HPC engineering to shrink runtimes from days to hours and enable state-wide agent-based preparedness tools used by public health partners. He’s the author of widely used open-source R packages (1M+ downloads) and has driven CI/CD, containerized workflows, and production-ready pipelines for federal and academic teams. George has secured and contributed to double-digit millions in research funding while leading interdisciplinary teams to deliver decision-support models for health agencies. Notably, his work spans hands-on software engineering at the CDC and teaching the first graduate course on HPC with R/C++, reflecting a practical focus on training the next generation of computational data scientists. Based in Salt Lake City, he thrives where advanced computation, scalable simulations, and policy-facing research intersect.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Southern California
California Institute of Technology
Economy and Policy Master's Degree, Economics, Public Policy, Economy and Policy Master's Degree, Economics, Public Policy at Universidad Adolfo Ibáñez
English, Spanish