About Me
Welcome to my website. I am a Ph.D. student at Harvard Kennedy School (Politics and Institutions track).
My research centers on political methodologies and applications. Methodologically, I am interested in the intersection of causal inference and machine learning, especially causal inference methods for texts, images, and videos. Substantively, my focus lies on political violence and political communication.
I have contributed to several research projects aligned with these interests, and my work has been published in peer-reviewed journals, including Journal of Conflict Resolution and the International Journal of Communication.
Before joining Harvard, I earned an M.S. in Statistics from the University of Chicago and a B.A. in Political Science from Waseda University in Japan. Feel free to reach out to me at knakamura [at] g.harvard.edu.
Recent Updates
- 2024/10/03: Released a new working paper Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments with Kosuke Imai
- 2024/08/01: Understanding the Impact of Military Service on Support for Insurrection in the United States is published on Journal of Conflict Resolution
- 2024/07/19: Presented Automated Cognitive Debriefing (with Musashi Hinck, Uma Ilavarasan, Gary King, and Brandon M. Stewart) and Causal Inference with Unstructured High-Dimensional Treatments using Deep Generative Models: Applications to Images and Texts (with Kosuke Imai) at Society for Political Methodology.