Picture of Naoki Egami
Naoki Egami
Curriculum Vitae
Google Scholar

Email: naoki.egami at Columbia.Edu

Assistant Professor

Department of Political Science
Columbia University








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.

I am broadly interested in causal inference and machine learning methods for the social sciences. My research projects include external validity of causal findings and causal inference with network and spatial data. Please see 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 2022, my paper on causal peer effects won the Best Conference Paper Award from 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 pre-doctoral fellow in the Department of Government at Harvard University from 2018 to 2020. I also studied at the University of Michigan, Ann Arbor, as a visiting student in 2013.

Representative Papers

Recent Invited Talks

Picture of Naoki Egami