Summary
Nishant Kishore is a computational epidemiologist and entrepreneur with 14+ years designing resilient surveillance systems and translating modeling research into operational national platforms, often in low-resource settings. He has led interdisciplinary teams at CDC and as CEO of EpiTech Consultants to build high-throughput databases, analytic pipelines, and reusable libraries that materially reduced analyst time and informed policy—saving an estimated 80+ person-hours per week in one CDC implementation. Trained in epidemiologic modeling and biostatistics (MS, PhD from Harvard; MPH from Emory), he has produced predictive analytics, mortality estimation, and outbreak forecasts that set global standards for data use, ownership, and governance. Comfortable moving between field deployments and software engineering, he’s implemented national predictive platforms in countries from Kazakhstan to Malawi and embedded mechanistic models into decision tools for immunization policy. Based in Atlanta, he combines rigorous academic publication record with practical, production-ready tools and a knack for scaling solutions under resource and time constraints.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science, Neuroscience, Bachelor of Science, Neuroscience at The College of William and Mary
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at Harvard University
MPH, Global Epidemiology, MPH, Global Epidemiology at Emory University
Spanish, Hindi, Malayalam, English, French