Summary
Michael Levy is a Senior Principal Data Scientist with 11 years of experience applying Bayesian modeling, network analysis, and NLP to improve healthcare and social-impact programs. He holds a PhD in Computational Social Science from UC Davis and has built production ML platforms and open-source tools used to assess relationship and clinical outcomes across startups, nonprofits, and enterprise teams. His work spans Meta and GiveDirectly to Atlassian, combining research-grade statistical rigor with practical deployment and teaching—he’s developed and taught machine learning curricula for practitioners. Notably, his academic publications range from Nature Sustainability to Science Advances, and he frequently translates complex network and social-capital metrics into actionable product features. Based in Boulder, he brings a rare blend of ecology-rooted systems thinking and hands-on engineering in R and reproducible analytics.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Social Science: Environmental Policy, Doctor of Philosophy (Ph.D.) Computational Social Science: Environmental Policy at University of California, Davis
M.S. Biology - Ecology, M.S. Biology - Ecology at West Virginia University
BS Magna Cum Laude Chemistry, BS Magna Cum Laude Chemistry at Fort Lewis College