Lina Montoya

Dr. Lina Montoya is an Assistant Professor in the School of Data Science and Society and the Department of Biostatistics at the University of North Carolina at Chapel Hill, with a joint appointment at the Gillings School of Global Public Health. Her research focuses on causal inference, precision medicine, and dynamic treatment regimes, particularly in the contexts of the U.S. criminal legal system and HIV care adherence in sub-Saharan Africa. She holds a PhD and MA in Biostatistics from UC Berkeley and a BA in Psychology from Johns Hopkins University.

Her methodological work addresses treatment effect heterogeneity and optimal dynamic treatment strategies. Applications include criminal justice interventions and improving HIV care engagement. Key research areas span biostatistical methods, health policy, and global public health. Her recent publications explore cost-effectiveness analyses, predictive models, and equity in criminal justice and healthcare systems.

Educational background includes postdoctoral research at UNC-Chapel Hill, prior work at Harvard Medical School, and undergraduate studies at Johns Hopkins. She actively contributes to interdisciplinary collaborations, emphasizing practical applications of statistical methods in real-world health and justice systems.