Rob Aseltine

Rob Aseltine is currently the Chair and Professor in the Department of Behavioral Science and Community Health at the University of Connecticut. His work focuses on public health disparities, mental health surveillance, and statistical methodologies for healthcare data analysis. He has led studies on racial/ethnic disparities in healthcare outcomes, suicide risk prediction, and data imputation techniques for administrative health records.

Key research areas include analyzing preventable hospitalizations, health information exchange systems, and longitudinal studies of chronic disease management. His methodological contributions span survival analysis, generalized estimating equations, and privacy-preserving statistical techniques.

Recent projects include evaluating disparities in heart failure hospitalizations across Connecticut, developing suicide risk identification frameworks using health IT systems, and comparing imputation methods for race/ethnicity data in healthcare databases.

Aseltine collaborates widely with interdisciplinary teams, publishing in journals like Public Health Reports, Annals of Applied Statistics, and Journal of Public Health Management and Practice. His work bridges statistical innovation with real-world public health challenges, emphasizing equity and data-driven solutions.