Dr. Farhad Mahmud
- CARE Statistician
- Assistant Research Professor, Life Span Institute
Contact Info
Biography —
Dr. Kazi Md Farhad Mahmud is an Assistant Research Professor at the Bureau of Child Research and Statistician for CARE Lab at the University of Kansas. He completed his PhD in Biostatistics at the University of Kansas Medical Center, where his research focused on advanced statistical modeling of longitudinal data and deep learning for medical image segmentation. In his current role, he collaborates with a multidisciplinary research team to examine eating disorder symptoms, and digital or scalable approaches to improving care.
Dr. Mahmud is also passionate about mentoring students, especially in helping them develop research skills, data analysis skills, and scientific thinking. In his spare time, he enjoys running, playing tennis, watching films and theatre, and spending time with friends and family.
Education —
Research —
Dr. Mahmud’s research interests center on advanced statistical modeling, longitudinal data analysis, eating disorders, psychiatric comorbidity, and the use of deep learning in medical image segmentation. His work focuses on applying statistical and computational methods to better understand complex mental health outcomes and treatment-related processes.
He is also interested in developing practical data-cleaning and analytic systems for complex research datasets. His broader methodological interests include correlated outcomes in repeated-measures data, dependency testing, and deep learning approaches for medical image segmentation.
Selected Publications —
Mahmud, K. M. F., Yoder, R., Staley, J., Aripoli, A., Stecklein, S., Sharma, P., & Zhou, Z. (2026). " ER2Net: An evidential reasoning rule–enabled neural network for reliable triple-negative breast cancer tumor segmentation in magnetic resonance imaging," Journal of Medical Imaging 13(1), 014005.
Forbush et al., Mahmud, K. M. F. (2026). Modeling internalizing symptoms in United States veterans using the HiTOP framework: Gender invariance and longitudinal stability. Accepted for publication to the Journal of Psychopathology and Clinical Science.
Mahmud, K. M. F., Li, Y., Koestler, D.C. (2025). Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects. Statistics in medicine, 44(20-22), e70260.
Leavens, E. L., Lambart, L. M., Helen, G. S., Benowitz, N. L., Mayo, M. S., Mahmud, K. M. F., ... & Nollen, N. L. (2024). Menthol versus tobacco e-liquid flavor: Impact on acute subjective effects, puff patterns, and intentions for use among Black and White menthol smokers. Addictive Behaviors, 155, 108038.
Funk, O. L., Nollen, N. L., Wagener, T. L., Ahluwalia, J. S., Mayo, M. S., Mahmud, K. M. F., ... & Leavens, E. L. (2023). Concurrent choice assessment of preference and substitutability of e-cigarettes and heated tobacco products for combustible cigarettes among African American and white Smokers. Nicotine and Tobacco Research, 25(8), 1505-1508.