About
Tyler is a PhD student in Political Science and Scientific Computing at the University of Michigan, where he is also pursuing a dual master’s degree in Statistics.
Trained as a demographer, he specializes in decomposing aggregated population data to study patterns of party–voter realignment and dealignment from a comparative historical perspective. His research integrates empirical data analyses such as multilevel regression with poststratification and agent-based modeling to reverse engineer the ecological fallacy, particularly in contexts where survey data are scarce. His regional focus is East and Southeast Asia, and he conducts research in multiple languages, including Mandarin Chinese, Malay, Indonesian, and Japanese. He is also interested in the United States, whose abundant data facilities the methodological development, i.e., temporal and spatial modeling of constituency-level population change, that he aims to pursue.
In addition to his research, Tyler is deeply engaged in teaching quantitative and computational social science. Meanwhile, his other academic services include President of Graduate Association of Political Scientists (GAPS) (2025), and co-organizer of two Rackham-sponsored workshops, Interdisciplinary Workshop on Comparative Politics (2023-2024) and China Reading Group (2023- ).
