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. Alimena S, Fallah P, Stephenson B, Feitmate C, Feldman S, Elias KM. (2023). Comparison of Enhanced Recovery After Surgery (ERAS) metrics by race among gynecologic oncology patients: Ensuring equitable outcomes. Journal of Gynecologic Oncology. 2023; 171:31-38.
  2. Stephenson BJK, Herring AH, Olshan AF. (2022). Derivation of maternal dietary patterns accounting for regional heterogeneity. Journal of the Royal Statistical Society. Series C, Applied Statistics, 71(5), 1957–1977.
  3. Stephenson B, Willett W. (2023). Racial and Ethnic Heterogeneity in Diet of Low-income Adult Females in the United States: Results from National Health and Nutrition Examination Surveys 2011-2018. American Journal of Clinical Nutrition. 2023; 117(3): 625-634. https://www.sciencedirect.com/science/article/pii/S0002916523005129
  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 LatinosThe 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