I am an Assistant Professor at School of Digital Humanities and Computational Social Sciences and a joint professor at Graduate School of Data Science, Korea Advanced Institute of Science and Technology (KAIST).

Previously, I was a postdoctoral fellow at the Center for Science of Science and Innovation at Kellogg School of Management, Northwestern University. I completed my Ph.D. in Political Science and Social Data Analytics at Pennsylvania State University.

My research is situated in comparative politics and centers on political parties, partisanship, and political polarization. I examine these phenomena from both institutional and behavioral perspectives. Methodologically, I develop and apply computational social science approaches, integrating natural language processing and large language models, network analysis, statistical methods, and survey experiments.

I am looking for motivated students who are enthusiastic about integrating theoretical insights from political and social sciences with computational and statistical methods to leverage large-scale data for M.S. or Ph.D. degrees in Computational Social Science or Data Science. Recruitment will be through both School of Digital Humanities and Computational Social Sciences and Graduate School of Data Science.

If you have any questions, reach out to me at taegyoon@kaist.ac.kr.