Kosuke Imai is Professor in the Department of Politics at Princeton University and directs the Program in Statistics and Machine Learning. He is also an executive member of the Committee for Statistical Studies and the Program for Quantitative and Analytical Political Science (Q-APS).
After obtaining a B.A. in Liberal Arts from the University of Tokyo (1998), Imai received an A.M. in Statistics (2002) and a Ph.D. in political science (2003) from Harvard University. Imai’s research area is political methodology and more generally applied statistics in the social sciences. He has extensively worked on the development and applications of statistical methods for causal inference with experimental and observational data. Other areas of his research are survey methodology and the application of Bayesian statistical methods to social science research.
Imai has published more than thirty peer-refereed journal articles in political science, statistics, economics, and psychology. He has won several awards including the Miyake Award (2006), the Warren Miller Prize (2008), the Pi Sigma Alpha Award (2013), the Stanley Kelley, Jr. Teaching Award (2013), and is the inaugural recipient of Society of Political Methodology’s Emerging Scholar Award (2011). Imai’s research has been supported by several National Science Foundation grants as well as grants from other agencies.