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
Contributions:8 commits, 6 pushes in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.