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Naoki Egami is an Associate Professor in the Department of Political Science at the Massachusetts Institute of Technology (MIT). He is a faculty affiliate of the Statistics and Data Science Center and the Institute for Data, Systems, and Society (IDSS). Egami specializes in political methodology and develops statistical methods pertinent to political science and the social sciences. His current research programs focus on areas such as external validity, machine learning applications in social sciences, and causal inference with network and spatial data. His work has been recognized in leading academic journals across political science, statistics, and computer science, including the American Political Science Review and the Journal of the Royal Statistical Society. Egami has received several awards, including the Emerging Scholar Award from the Society for Political Methodology in 2025, which honors young researchers for their significant contributions in the field. His extensive methodological contributions have earned him several Paper Awards from sections of the American Political Science Association. Before joining MIT, Egami was an Assistant Professor at Columbia University and has held research positions at Harvard University and the University of Michigan.
Columbia University • New York
Conducted research and taught courses in political methodology and causal inference.