Teaching Fellows

Fu is a Teaching Fellow Post-Doc in the Department of Political Science and the College at The University of Chicago. His research interests include American presidency, executive-legislative relations, political communications, distributive politics, machine learning and text analysis, and causal inference. His dissertation studies American interbranch messaging. Drawing upon a rich collection of press releases, social media postings, and floor speeches, he uses text as data to elucidate how members of Congress publicly buoy and block presidential efforts to rally public support for policy initiatives, and use causal inference methods to investigate the impact of this interbranch exchange of messages on fundraising. He completed his 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.

You can see his personal site here.