My research has been primarily focused in using Bayesian methods to create innovative model-based clustering techniques to address data complexities found in large, heterogeneous populations. These methods were generated as a result of my collaborative research interests in maternal health, nutritional epidemiology, psychological health, public health policy, and health disparities.

Curriculum Vitae
Active Research Projects


PhD, Biostatistics – University of North Carolina at Chapel Hill
MPH, Biostatistics – George Washington University
BS, Mathematics – Massachusetts Institute of Technology

Honors & Distinctions

Distinguished Student Paper Award | 2018
International Biometric Society, Eastern North American Region

Gillings Dissertation Award for Public Health Impact | 2017
University of North Carolina at Chapel Hill

Junior Researcher Award | 2015
Bayesian Nonparametrics Conference, International Society for Bayesian Analysis


  1. De Vito R*, Stephenson B*, Sotres-Alvarez D, Siega-Riz AM, Mattei J, Parpinel M, Peters BA, Bainter SA, Daviglus ML, Van Horn L, Edefonti V. Shared and ethnic background site-specific dietary patterns in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). medRXiv preprint medRXiv: 06.30.22277013v1; doi: 10.1101/2022.06.30.22277013.
  2. Stephenson BJK, Dominici F. Identifying dietary consumption patterns from survey data: A Bayesian nonparametric latent class model. medrXiv 2021.11.18.21266543; doi:10.1101/2021.11.18.21266543. PMCID In Process
  3. Stephenson BJK, Willett WC. Racial/Ethnic Heterogeneity in Diet of Low-income Adult Women in the United States: Results from National Health and Nutrition Examination Surveys 2011-2018. medRXiv
  4. Li D, Gaynor SM, Quick C, Chen JT, Stephenson BJK, Coull BA, Lin X. Identifying US county-level characteristics associated with high CVD burden. BMC Public Health, 2021 May 28; 21(1):1007. PMCID: PMC8162162
  5. Stephenson, B.J., Sotres-Alvarez, D., Siega-Riz, A.M., Mossavar-Rahmani, Y., Daviglus, M.L., Van Horn, L., Herring, A.H. and Cai, J., 2020. Empirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos. The Journal of Nutrition150(10), pp.2825-2834.
  6. Stephenson B, Herring A, Olshan A. Robust Clustering with Subpopulation-specific Deviations. Journal of the American Statistical Association 2020; 115(530):521-537