Doctoral Candidate
About
Tyler is a Ph.D. candidate in Political Science and Scientific Computing at the University of Michigan, where he is also completing an M.A. in Statistics. He is affiliated with the International Institute and the Center for Political Studies. He is also a 2026–2027 graduate fellow at the Michigan Institute for Computational Discovery and Engineering (MICDE).
Substantively, He studies how population changes (e.g., urbanization, generational turnover, migration of racial and ethnic groups) and elite politics jointly shape electoral outcomes, political parties and party systems, with area foci on the United States as well as East and Southeast Asia. Methodologically, He focuses on ecological inference, hierarchical modeling, simulation approaches, and measurement and inference of Time-Series Cross-Sectional (TSCS) data.
