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.
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
- 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.
- 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.
- 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
- 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
- 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 Nutrition, 150(10), pp.2825-2834.
- Stephenson B, Herring A, Olshan A. Robust Clustering with Subpopulation-specific Deviations. Journal of the American Statistical Association 2020; 115(530):521-537