Zoe McBride, PhD, ASA

About

I am an Assistant Professor of Statistics at Brigham Young University. I received a dual BS/MS degree in Statistics at Brigham Young University in 2020 and a PhD in Statistics from the University of Connecticut in 2025. My research focuses on Bayesian methods with applications in actuarial science, as well as behavioral and mobile health. I am also an Associate of the Society of Actuaries. In my free time, I enjoy spending time outdoors with my husband and two children.

Research

• Maikos, J., Sidiropoulos, A., Chomack, J., Herlihy, D., Pruziner, A., Nelson, L., Phillips, S., Heckman, J., Gladish, J., McBride, Z., Moore, T., Dearth, C., and Nelson, L. M. Toward evidence-based prescription of prosthetic ankle-foot devices: A multisite randomized crossover trial identifying performance-based, patient-reported, and biomechanical parameters sensitive to device type. PLOS ONE, 21(7), e0352644.
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• McBride, Z., Wang. X., Moore, T. and Mead-Morse, E. (2026). A Bayesian hierarchical modeling approach for the estimation of demand curves from hypothetical purchase tasks administered in an experimental setting. Journal of Applied Statistics, 1-30.
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• Nadeau, J., Debel, N., Johnson, J., Simoneau, A., Yalavarthi, G., Sweeney, B., Stearns, G., Saliceti, A., Rutstein, H., Amalaradjou, M., Govoni, K., McBride, Z. G., & Moore, T. (2026). Influence of parasitic load, breed, age, housing and season on skin and hair coat conditions in horses. Journal of Equine Veterinary Science, 159, 105818.
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• McBride, Z., & Wang, X. (2026). A hierarchical Gaussian process approach to understanding mental health trajectories via item response theory models. Psychometrika, 91(3), 730-760.
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• Gibbs, Z., & Hartman, B. (2021). Using asymmetric cost matrices to optimize wellness intervention. North American Actuarial Journal, 25(1), 62–72.
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• Hartman, B., Owen, R., & Gibbs, Z. (2021). Predicting high-cost health insurance members through boosted trees and oversampling: An application using the HCCI database. North American Actuarial Journal, 25(1), 53–61.
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• Gibbs, Z., Groendyke, C., Hartman, B., & Richardson, R. (2020). Modeling county-level spatiotemporal mortality rates using dynamic linear models. Risks, 8(4), 117.
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Teaching

• Stat 121: Introduction to Statistical Data Analysis (Winter 2026)
• Stat 230: Statistical Modeling 1 (Fall 2026)

Curriculum Vitae

You can download my CV below: