Naoki Egami

Naoki Egami is Assistant Professor in Political Science at Columbia University, specializing in political methodology with focus on causal inference, machine learning applications, and network analysis. His research develops statistical methods for social science questions.

Research interests include:

• Causal inference with interference
• External validity frameworks
• Machine learning for social sciences
• Spatial and network modeling

Publications address methodological challenges in generalization, network confounding, and LLM applications. Recent work develops sampling strategies and validation frameworks for complex social data.

Awards include Gosnell Prize for best political methodology work and John T. Williams Dissertation Prize. Holds PhD from Princeton University and BA from University of Tokyo.