Christopher Boyer is an Assistant Professor and epidemiologist with a decade of experience applying rigorous causal and predictive methods to public health, now based at Case Western Reserve University and the Cleveland Clinic. He earned a PhD in Epidemiology from Harvard with a dissertation on factual and counterfactual prediction and has transitioned research from infectious disease modeling at the Center for Communicable Disease Dynamics to clinical and population health work. Earlier roles at Innovations for Poverty Action, The World Bank, and Columbia reflect a strong practical grounding in field evaluation and policy-relevant research. Comfortable bridging theory and implementation, he combines biostatistical training with hands-on data science and a background in mechanical engineering, a mix that helps him reframe complex problems across disciplines. A “recovering randomista,” he brings both experimentalist rigor and computational fluency to collaborative translational research.
10 years of coding experience
5 years of employment as a software developer
Master of Public Health (MPH), Epidemiology, Master of Public Health (MPH), Epidemiology at Columbia University Mailman School of Public Health
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at Harvard University
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Wright State University
Contributions:2 reviews, 111 commits, 9 PRs in 2 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Christopher Boyer - Assistant Professor at Cleveland Clinic