Computational Methods
Deep learning, AI-assisted measurement, causal inference workflows, and network modeling for political data.
Assistant Professor • Penn State Political Science & ICDS
Methodologist studying conflict, security, and political behavior through data.
I build research pipelines that connect machine learning, network analysis, natural language processing, and computer vision to high-stakes political questions. My work spans international security, political violence, conflict processes, and complex systems.
Previously at the University of Texas at Dallas and Stanford's Human Trafficking Data Lab. Ph.D. from The Ohio State University.
Current Focus Areas
International Security
Strategic interaction, conflict escalation, and uncertainty under contemporary geopolitical constraints.
Political Violence
Diffusion, local heterogeneity, and actor-level decision-making in violent political environments.
Media & Information Systems
Information competition, digital discourse, and media effects in domestic and international politics.
Governance & Institutions
Regime dynamics, institutional design, and the conditions that sustain or erode democratic resilience.
Foreign Policy Analysis
Elite decision-making, alliance formation, and crisis diplomacy in an era of great-power competition.