Picture of Naoki Egami
Naoki Egami
Curriculum Vitae
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Email: naoki.egami at Columbia.Edu

Assistant Professor

Department of Political Science
Columbia University

About

Papers

Research

Softwares

Presentations

Teaching

Welcome

I am an Assistant Professor in the Department of Political Science at Columbia University. I specialize in political methodology and develop statistical methods for questions in political science and the social sciences. Specifically, I work on causal inference and machine learning methods.

My current research programs focus on three areas:

Please see my representative papers below and Research for the overview of my research areas. My work has appeared or is forthcoming in various academic journals, such as American Political Science Review, American Journal of Political Science, Political Analysis, Journal of the American Statistical Association, Journal of the Royal Statistical Society (Series B), Neurips, and Science Advances.

I have won several awards for my research. In 2024, my paper on external validity won the Best Paper Award from the Experimental Research section in APSA. In 2022, my paper on causal peer effects won the Best Conference Paper Award from the Political Networks section in APSA. In 2019, my work on causal diffusion analysis won the Gosnell Prize from the Society for Political Methodology. In 2017, I also received the John T. Williams Dissertation Prize.

I received a Ph.D. from Princeton University (2020) and a B.A. from the University of Tokyo (2015). I was a visiting graduate student fellow in the Department of Government at Harvard University from 2018 to 2020. I also studied at the University of Michigan as a visiting student in 2013.

Representative Papers

Recent Invited Talks



Picture of Naoki Egami