Michael Kistner is a PhD candidate in the Department of Politics and the Joint Degree Program in Social Policy. His research interests include campaign finance, state politics, electoral and legislative politics, and applied Bayesian methods. In his dissertation Michael explains when and why parties in legislatures levy high fundraising demands on their members, and evaluates how these demands have affected key policy processes. In other research, he investigates how accountability in congressional elections has evolved over time and utilizes Bayesian methods and multilevel modeling techniques to develop better measures of political phenomena.
In addition to his research, Michael is passionate about inclusive pedagogy. Over the past two summers he has served as instructor of statistics for the Junior Summer Institute, which seeks to prepare students from diverse backgrounds for graduate study and careers in public policy. He also works as a statistical consultant in Princeton's Data and Statistical Services lab. Before coming to Princeton he got his B.A. in Political Science from Illinois Wesleyan University.