Chair, Division Of Data Science And Society, School Of Data And Information Sciences
Chapel Hill, North Carolina, United States
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Summary
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Senior
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Top School
Santiago Olivella is an Associate Professor of Political Science at UNC Chapel Hill with a decade of experience applying Bayesian probabilistic modeling and quantitative methods to electoral politics. He holds a Ph.D. from Washington University in St. Louis and has held visiting positions at Harvard and Princeton, reflecting a strong cross-institutional research network. Santiago combines a sustained publication record with multiple open-source software contributions that operationalize complex statistical models for empirical researchers. He teaches and mentors across levels, from undergraduates to graduate students, and has a track record of translating methods into accessible coursework. Based in Chapel Hill, he brings both deep theoretical expertise and practical tooling that make advanced Bayesian approaches usable in real-world political analysis.
10 years of coding experience
5 years of employment as a software developer
Santa Fe Institute
Doctor of Philosophy (Ph.D.) Political Science, Doctor of Philosophy (Ph.D.) Political Science at Washington University in St. Louis
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