Teppei is Associate Professor of Political Science at Massachusetts Institute of Technology (MIT) and a Faculty Affiliate of the Center for Statistics at the Institute for Data, Systems, and Society. Before joining MIT, Teppei obtained a B.A. in Liberal Arts from the University of Tokyo (2006) and a M.A. (2008) and Ph.D. (2011) in Politics from Princeton University. Teppei is broadly interested in the development of quantitative methods for political science data. Teppei’s research has focused on statistical methods for causal inference, including causal attribution, causal mediation, causal moderation, and causal inference with measurement error. Teppei's current work also involves the development of new designs and methods for survey experiments, such as conjoint analysis and patient preference trials. Teppei’s work has been funded by National Science Foundation and has appeared in various academic journals, including American Journal of Political Science, American Political Science Review, Journal of the Royal Statistical Society Series A, Political Analysis, PNAS, and Statistical Science.
Institution / Affiliation : Massachusetts Institute of Technology
Methodology: Survey Methodology