I am a postdoc research fellow at the School of Computing and Information at University of Pittsburgh. I received my Ph.D. degree in Politics at NYU. Starting from Summer 2020, I will be joining the Department of Politics at University of Essex as a Lecturer (Assistant Professor) specializing in Data Science and American Politics.
My research focuses on politicians’ legislative and communication styles they choose to perform under various institutional constraints in American politics context, and I further explore electoral consequences and policy implications resulting from their stylistic choices. For the research, I use text analysis, machine learning, causal inference models, multi-level modeling, formal modeling and experimental methods. My works are published at the Journal of Politics, Legislative Studies Quarterly, Electoral Studies and Journal of Legislative Studies.
I have taught courses in American politics and Congress and a broad range of quantitative methods at both graduate and undergraduate levels including causal inference, Maximum Likelihood Estimation, and regression analysis.
The School of Computating and Information
University of Pittsburgh
135 North Bellefield Ave. 2B13
Pittsburgh, PA 15260