David Muchlinski

David Muchlinski is an Assistant Professor at the Sam Nunn School of International Affairs within the Ivan Allen College of Liberal Arts at the Georgia Institute of Technology. He specializes in computational social science with a focus on political violence, utilizing machine learning and natural language processing techniques to study radicalization processes and conflict forecasting.

His research interests include:

• Predictive modeling of civil wars and mass atrocities
• Social media analysis for radicalization detection
• Machine learning applications in conflict studies
• Natural language processing of extremist communications
• Cross-national patterns of political violence

Muchlinski's publications demonstrate a consistent focus on developing computational methods for conflict analysis, with recent work exploring deep learning approaches to electoral violence measurement and transitional justice mechanisms. His research bridges political science, data science, and artificial intelligence, emphasizing practical policy applications.

He is actively recruiting computer science students for research projects in computing for social good, particularly those with expertise in machine learning, data visualization, and network analysis.