Summary
Christopher Desante is a tenured political psychologist, data scientist, and computational statistician who has spent over a decade teaching applied research methodology and data science at Indiana University Bloomington. He blends econometrics, machine learning, data visualization, and causal inference with hands-on expertise in R, Stata, Python, Qualtrics, and data management to advance empirical political science research. As Associate Professor at IU since 2013, he translates complex methods into practical tools for policy-relevant analysis, backed by a PhD in Political Science and Statistical Methodology from Duke University. His work spans university teaching and rigorous data-driven inquiry, rooted in a cross-disciplinary academic foundation from Vanderbilt, Oxford, and Allegheny College. Based in Bloomington, Indiana, he brings a collaborative, methodologically rigorous approach to both classroom instruction and research design.
9 years of coding experience
Doctor of Philosophy - PhD, Political Science and Statistical Methodology, Doctor of Philosophy - PhD, Political Science and Statistical Methodology at Duke University
PPE, PPE at University of Oxford
Bachelor of Arts - BA, Philosophy and Political Science, Bachelor of Arts - BA, Philosophy and Political Science at Allegheny College
Master of Arts - MA, Social and Political Thought, Master of Arts - MA, Social and Political Thought at Vanderbilt University