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
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In Spring 2025, I will give a talk on multi-site studies for external validity at
the Marketing seminar in Columbia Business School.
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In October 2024, I will give a talk on how to use large language models
(LLMs) in the social sciences at the Department of
Political Science in the Ohio State University.
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In June 2024, I gave a talk on how to use large language models
(LLMs) in the social sciences at the NLP+CSS workshop at NAACL 2024.
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In May 2024, I gave a talk on how to use large language models
(LLMs) in the social sciences and organize a session on external validity at
the American Causal Inference Conference.
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In December 2023, I gave a talk at Waseda University about my paper on
multi-site studies for external validity.
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In December 2023, I gave a talk at University of Tokyo about my paper on
multi-site studies for external validity.
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In July 2023, I gave talks at PolMeth about my paper on
multi-site studies for external validity and my paper on large language models.
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In May 2023, I gave a talk at MIT about external validity.
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In April 2023, I gave a talk at Harvard about external validity.
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In March 2023, I gave a talk at the University of Tokyo about my paper on causal inference with
texts.
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In February 2023, I gave a talk at the University of North Carolina at Chapel
Hill about my paper on external robustness.
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In October 2022, I gave a talk at the Quantitative Methods
in the Social Sciences Program at Columbia University
about my paper on external robustness.
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In October 2022, I gave a talk at the INFORMS Annual Meeting
about my paper on causal peer effects.
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In April 2022, I gave a talk at Stanford about a new paper on external robustness.
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In March 2022, I gave a talk at the Department of Economics
in Columbia about my paper on causal peer effects.
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In February 2022, I gave a talk at Yale about my paper on causal peer effects.