Dipankar Bandyopadhyay, PhD

      Professor, Department of Biostatistics

     School of Public Health

          Virginia Commonwealth University

I am a professor in the Department of Biostatistics, School of Public Health, at the Virginia Commonwealth University (VCU). I also serve as the Sr. Advisor of Data & Cancer Modeling, and Core Member, Biostatistics Shared Resources, at the VCU Massey Comprehensive Cancer Center, and the Director of Data Analytics at the VCU Kidney disease and Transplant Epidemiology (KiTE) core. 

My primary research interests are in spatial/spatio-temporal modeling, survival/time-to-event analysis, non-Gaussian regression, tensor regression, non-Euclidean regression, correlated/longitudinal data, nonparametric methods, precision health, and also their applications to problems in epidemiology and behavioral studies. I usually search for a pragmatic solution to my statistical modeling problems, which can either follow the Bayesian paradigm, or rely on frequentism. In recent times, I am continuing my excitement to work on applications of neural networks to electronic health records and observational data. My primary clinical interest is in oral and craniofacial epidemiology, in particular, investigating periodontal health and caries progression via studies mostly funded by the NIH/NIDCR. Other clinical research interests include cancer, organ transplant epidemiology (mostly, kidney), substance abuse and alcohol addiction, medical imaging, and neurological disorders.   

You may find my NIH RePORTER profile here

Representative publications:  [* = a student author, when research was conducted; # = joint first-authored]

1. *Das S, Chae M, Pati D and Bandyopadhyay D. (2025+). A monotone single-index model for spatially-referenced multistate current status data, (Accepted), Biometrics 

2. Choi T, Choi S and Bandyopadhyay D. (2025+). Rank estimation for the accelerated failure time model under partially interval-censored data, (Accepted), Statistica Sinica

3. *Yan L, Zhang X, Lan Z, Bandyopadhyay D and Wu Y. (2025). Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging, The Annals of Applied Statistics, 19(1), 655-679

4. *Lee CY, Wong KY, Lam KF and Bandyopadhyay D. (2023). A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes, Biometrics, 79(3), 2010-2022

5. Bakoyannis G and Bandyopadhyay D. (2022). Nonparametric tests for multistate processes with clustered data, Annals of the Institute of Statistical Mathematics, 74, 837-867

6. *Guan Q, Reich BJ, Laber E and Bandyopadhyay D. (2020). Bayesian nonparametric policy search with applications to periodontal recall intervals, Journal of the American Statistical Association - Applications & Case Studies,  105(531), 1066-1078  [Won ASA's 2021 award for Outstanding Statistical Application]

7. Bandyopadhyay D and Canale A. (2016). Nonparametric spatial models for clustered ordered periodontal data, Journal of the Royal Statistical Society - Series C, 65(4), 619-640