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Yuki Shiraito works primarily in the field of political methodology. His research interests center on the development and applications of Bayesian statistical models, large-scale computational algorithms, and data analysis in International Relations and World Politics. In 2017, Yuki earned his Ph.D. in Politics from Princeton University, following his M.A. in Politics from the same institution in 2012. He also holds a LL.M. and a LL.B. from the University of Tokyo, awarded in 2009 and 2007 respectively. Prior to joining the University of Michigan as an Assistant Professor in September 2018, he served as a Postdoctoral Fellow in the Program in Quantitative Social Science at Dartmouth College. Yuki's work focuses on innovative methods in the study of political phenomena, contributing to a better theoretical and empirical understanding of complex political processes.
University of Michigan • Ann Arbor, MI
Yuki Shiraito teaches in the Department of Political Science, focusing on political methodology and research.
Dartmouth College • Hanover, NH
Worked in the Program in Quantitative Social Science, focusing on statistical analysis and methodologies in political science.
Department of Electrical Engineering and Computer Science