Sean Browning is a data scientist and epidemiologist with nine years of experience applying R- and Python-driven machine learning to public health challenges at the CDC, where he has supported COVID-19 responses, international outbreak operations, and foodborne disease surveillance. He blends rigorous epidemiologic training (MSc, London School of Hygiene & Tropical Medicine) with production-focused data science on the NCEZID/OD Data Science Team to translate complex surveillance data into actionable insights. A technical leader who founded and fosters the CDC R Users Group and other working groups, he cultivates a community of data-savvy practitioners across government and academia. Based in New York, he brings field experience from international emergency responses to applied AI/ML projects, uniquely pairing frontline epidemiology with reproducible, open tooling.
9 years of coding experience
Master of Science (MSc), Epidemiology, Master of Science (MSc), Epidemiology at London School of Hygiene and Tropical Medicine, U. of London
Bachelor's Degree, B.A. Medical Humanities, Bachelor's Degree, B.A. Medical Humanities at Baylor University
Contributions:3 PRs, 426 pushes, 4 branches in 1 year 9 months
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