Christopher Homan

Christopher Homan is Associate Professor in the Department of Computer Science at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. Research centers on machine learning methods for qualitative analysis of human behavior at scale.

Education includes AB in Mathematics from Cornell University and MS/PhD in Computer Science from University of Rochester. Research integrates natural language processing, crowdsourcing, and computational social science to study health and social issues including intimate partner violence, suicide, and labor conditions.

Collaborative projects develop novel machine learning approaches for analyzing linguistic patterns in social media, improving annotation reliability, and modeling population-level perspectives. Applications address challenges in public health, social science, and AI safety evaluation.