Methodological Innovation
Developing robust workflows for machine learning and causal analysis in political science, with an emphasis on transparent validation and reproducibility.
My research combines computational social science with substantive political questions, with particular attention to conflict processes, strategic behavior, and information dynamics.
Developing robust workflows for machine learning and causal analysis in political science, with an emphasis on transparent validation and reproducibility.
Applying these methods to international security and political violence to improve both explanatory and predictive performance.
Building shared data and code practices that make interdisciplinary teamwork more efficient and replicable.