Summary
Francis Lee is a researcher with nine years of experience applying advanced statistical and computational methods to public health and education evaluation. Currently at the American Institutes for Research, he has led analyses for 13 projects worth over $1.5M, authored statistical analysis plans that helped secure $236k in funding, and published work in public health surveillance and policy. His background includes postdoctoral modeling of HIV and COVID transmission with real-world impact on public health recommendations and program goals. Trained as a sociologist with a PhD and an MS in Statistics from UC Irvine, he bridges network science, longitudinal modeling, experimental design, and machine learning to turn messy survey and network data into actionable insight. He routinely mentors junior analysts and vets production-ready Python/R code, and his doctoral work on network inference highlights a practical knack for diagnosing how data collection error shapes inference. Based in California, he combines academic rigor with hands-on project delivery for policy-focused clients.
9 years of coding experience
12 years of employment as a software developer
University of California, Irvine