I am a Ph.D. candidate in the Department of Politics at Princeton University and a graduate student fellow of the Program for Quantitative and Analytical Political Science (Q-APS). My work received the John T. Williams Dissertation Prize in 2017 from the American Political Science Association (for the best dissertation proposal in the area of political methodology). I obtained a B.A. in Liberal Arts from the University of Tokyo in 2015, and also studied at University of Michigan, Ann Arbor, as a visiting student in 2013.
I am broadly interested in political methodology and comparative political behavior. My research has focused on causal inference with spatial and network data, and the intersection of machine learning and causal inference. My work is forthcoming in Journal of the American Statistical Association.