Alexander Keil is an environmental and occupational epidemiologist with 11 years of experience translating complex data into actionable policy-relevant science, currently serving as a Stadtman Investigator at the National Cancer Institute. Trained with a PhD and MSPH from UNC Gillings, he has a track record of longitudinal field studies, advanced epidemiologic analyses, and teaching applied programming (SAS) for public health students. His work bridges the data-policy interface, improving the scientific foundations behind regulation and public health decisions, and he remains an active learner who maintains a personal project page and GitHub presence. Colleagues value his blend of rigorous quantitative skills, community-focused communication from earlier CHESS work, and practical experience designing interventions and training teams across research and clinical settings.
11 years of coding experience
15 years of employment as a software developer
Bachelors of Science, Biology, Bachelors of Science, Biology at Santa Clara University
PhD, Epidemiology, PhD, Epidemiology at Gillings School of Global Public Health, The University of North Carolina at Chapel Hill
GPT 3 api in Julia language (nearly line-for-line port from R gpt3 package)
Contributions:4 PRs, 31 pushes, 1 branch in 2 years 2 months
apijulia-languagegpt3gpt-3julia
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