Santiago is an Assistant Professor of Political Science. Prior to joining the faculty at the University of North Carolina – Chapel Hill, he was Assistant Professor at the University of Miami and a Visiting Research Scholar at Princeton Politics’ Q-APS Program. Originally from Colombia, he received his Ph.D. in Political Science from Washington University in St. Louis, and specializes in developing and applying statistical models — particularly Bayesian graphical models and machine learning techniques — to study electoral and legislative politics. His work focuses on the measurement of latent traits (such as group memberships of networked actors) and the political consequences of electoral and legislative institutions (particularly as they interact with geographic patterns of political support). You can find some of his peer reviewed work in Political Analysis, the American Journal of Political Science, the British Journal of Political Science, Electoral Studies and the Journal of Politics.