Dr. David Muchlinski

Biography

David Muchlinski is an Assistant Professor at the Sam Nunn School of International Affairs at Georgia Tech. His research spans subfields including International Relations, Comparative Politics, and Political Methodology. A computational political scientist, he utilizes Artificial Intelligence and Large Language Models combined with machine learning techniques to predict civil war outbreaks, secessionist conflicts, and targeted mass killings. Muchlinski's theoretical focus is on the debate surrounding ethnic identities, grievances, and political opportunity structures to understand the causes of conflict. Methodologically, he is engaged in developing new measures of ethnic salience and state capacity, using innovative data sources such as text, images, and audio. His research has been published in leading journals including the American Political Science Review and Political Analysis, among others. In addition to his research, Muchlinski teaches both graduate and undergraduate courses on quantitative research methods and political violence. He is actively seeking graduate students from Political Science, Computer Science, and Engineering disciplines, as well as exceptional undergraduates to assist with his research initiatives.

Research Interests

Courses