I am a Postdoctoral Teaching Fellow in the Department of Political Science and the College at the University of Chicago.
My research interests include American presidency, executive-legislative relations, political communications, distributive politics, machine learning and text analysis, and causal inference. My dissertation is on the intersection of presidential and congressional politics, particularly on interbranch messaging in a polarized era. Drawing upon a rich collection of press releases, social media postings, and floor speeches, I use text-as-data methods to elucidate how members of Congress publicly respond to presidential appeals, and use causal inference methods to investigate the impact of this interbranch communication on fundraising.
I completed my Ph.D. in Political Science at the University of Chicago, and earned a B.A. and an M.A. from the Department of International Relations at Tsinghua University.
Email: fushu@uchicago.edu
My research interests include American presidency, executive-legislative relations, political communications, distributive politics, machine learning and text analysis, and causal inference. My dissertation is on the intersection of presidential and congressional politics, particularly on interbranch messaging in a polarized era. Drawing upon a rich collection of press releases, social media postings, and floor speeches, I use text-as-data methods to elucidate how members of Congress publicly respond to presidential appeals, and use causal inference methods to investigate the impact of this interbranch communication on fundraising.
I completed my Ph.D. in Political Science at the University of Chicago, and earned a B.A. and an M.A. from the Department of International Relations at Tsinghua University.
Email: fushu@uchicago.edu
