My current research agenda explores how advanced computational methods can enhance our understanding of international politics, particularly in areas of threat effectiveness, alliance politics, and conflict analysis.

A major focus of my recent research is developing novel methodological approaches to longstanding measurement challenges in political science. Using dynamic latent variable approaches, I focus on the measurement of latent concepts in international relations, such as regime uncertainty, alliance reputation, and states' willingness to use force in international crises, and unifying the measurement of important concepts in comparative politics such as regime types and regime transitions.

My current work focuses on developing innovative approaches to data collection through machine learning and AI, including novel applications of dynamic latent variable models to enhance retrieval augmented generation systems. My current research portfolio includes large-scale database projects focusing on deterrent and compellent threats and observable alliance behavior. My AI research is supported by Google's Gemini Academic Program Award.

I also collect public opinion data and conduct survey experiments  on various topics in international security, including how voters evaluate leaders' use of coercive diplomacy, how accident claims and apologies affect crisis dynamics, and how perspective-taking interventions shape support for international disaster aid.

I develop and apply statistical methods to real-world policy challenges through consulting engagements with international organizations. As principal technical investigator for United Cities and Local Governments MEWA's Sustainable Development Mapping Project, I developed novel statistical methodologies to assess municipal contributions to UN Sustainable Development Goals, analyzing 2,223 projects across 15 municipalities. My current work focuses on developing AI tools to collect real-time data and provide policy-makers with evidence-based frameworks for understanding crisis dynamics and alliance behavior in contemporary international relations. 

With a decade-long experience in teaching, I am committed to creating an inclusive learning environment that bridges theory with practice. At NYUAD, I teach courses in international relations and quantitative methods. My courses combine rigorous methods with practical applications: Foreign Policy Analysis transforms students into policy advisors through hands-on simulations, International Politics develops analytical skills for understanding complex global issues, and quantitative methods courses teach students to analyze real-world data using statistical and decision theory tools.