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.
My research has focused on causal
inference from experimental and observational data, spatial
and network analysis, and the development of machine learning methods for
the social sciences. My work has appeared or is forthcoming in Journal of the American
Statistical Association and Political Analysis.
In 2019, my work on causal diffusion analysis won the Gosnell Prize from the
Society for Political Methodology (for the best work in political
methodology presented at any political science conference during the
preceding year). In 2017, I also received the John T. Williams Dissertation
Prize (for the best dissertation proposal in the area
of political methodology).
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.