Email: naoki.egami at Columbia.Edu
I am an Assistant Professor in the
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
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.