Ashley Naimi

Ashley Naimi is an Associate Professor in the Department of Epidemiology at Emory University. Her expertise lies in causal inference, machine learning, and artificial intelligence methods applied to reproductive and perinatal epidemiology, nutritional epidemiology, and social determinants of health. She currently co-leads the AJE Classroom section at the American Journal of Epidemiology, focusing on methods education.

Dr. Naimi holds a PhD from the University of North Carolina at Chapel Hill. Her research emphasizes innovative methodologies such as machine learning for dietary synergy analysis and mediation analysis to explore health disparities. Recent contributions include studies on low-dose aspirin in pregnancy, causal effect estimation challenges with machine learning, and the role of neighborhood poverty in cardiovascular disease.

Her work spans 15+ peer-reviewed articles in top journals like Annals of Internal Medicine and American Journal of Epidemiology. Key themes include methodological advancements in causal inference, health disparities, and real-world data applications. She leads a research team focused on translating data science innovations into public health practice.