Research Interest(s): Bayesian statistics, machine learning, text-as-data, research methods, authoritarian politics, political economy
Program Area(s): Methods
Regional Specialization(s): Asia
Sirus Bouchat completed a PhD in the Department of Political Science at the University of Wisconsin–Madison in 2017. With research interests in political methodology, comparative political economy, and authoritarian politics with a regional focus on Southeast Asia, Sirus' current work focuses on elicited priors, as well as machine learning and Bayesian statistical applications for the study of low information, authoritarian regimes like Myanmar.