Daniel Larremore is an academic computer scientist and applied mathematician who blends deep quantitative skills with practical leadership as Co-Founder of Cevian Labs and Associate Chair for Research at the University of Colorado Boulder. With a decade of experience spanning networks, genetic epidemiology, and computational social science, he builds and mentors research programs that translate mathematical models into public-health and bioscience impact. He codes fluently in C++, Python, and Matlab and has a track record of cross-disciplinary appointments—from the Santa Fe Institute to advisory roles in bioscience startups—reflecting a rare mix of theory and applied development. Trained in chemical engineering and with a PhD in applied mathematics plus postdoctoral work in epidemiology at Harvard, he routinely connects rigorous methods to real-world datasets and policy-relevant questions. Not obviously academic, he also has hands-on product and engineering experience dating back to medical device development, giving him practical insight into moving ideas toward deployable solutions.
10 years of coding experience
8 years of employment as a software developer
PhD Applied Mathematics, PhD Applied Mathematics at University of Colorado Boulder
BS Chemical Engineering, BS Chemical Engineering at Washington University in St. Louis
Postdoctoral Fellow Epidemiology, Postdoctoral Fellow Epidemiology at Harvard T.H. Chan School of Public Health
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