I am a postdoc research fellow at the School of Computation and Information in University of Pittsburgh. I received my Ph.D. degree in Politics at NYU in 2015.
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 style choices. For this research, I use various methodological approaches including 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 and Electoral Studies.
I have taught courses on 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 Computation and Information
University of Pittsburgh
135 North Bellefield Ave.
Pittsburgh, PA 15260