Summary
Luke Benz is a research statistician and Research Advisor in Statistics at Eli Lilly with nine years of experience bridging academic rigor and applied biostatistics. He holds a PhD in Biostatistics from Harvard and a BS in Applied Mathematics from Yale, and his research focuses on electronic health records, causal inference, missing data, and observational studies. Luke has blended industry and government experience—from Medidata product analytics to NIST research fellowships where he built an R Shiny app and published an R package—and he brings simulation and methodological expertise to complex measurement and meta-analysis problems. In addition to his work on clinical and regulatory-relevant methods, he pursues sports analytics as a hobby, applying the same causal and statistical thinking to sports data. Based in Indianapolis, he maintains an active personal website and GitHub, reflecting a commitment to reproducible research and practical tooling.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Applied Mathematics, Bachelor of Science (BS), Applied Mathematics at Yale University
High School, High School at Middlebury Union High School
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Harvard T.H. Chan School of Public Health
English, Spanish