Mariah Boudreau
Postdoc Research Fellow
Mariah Boudreau is a postdoctoral research fellow at the Roux Institute and Network Science Institute. Her research focuses on stochastic disease modeling, in the context of within-host and population-level disease dynamics. Boudreau holds a PhD in mathematical sciences from the University of Vermont, and an undergraduate degree in mathematics from Saint Michael’s College. She enjoys skiing and hiking when out of the office.
Research Overview
Boudreau’s work focuses on branching processes applied to disease spread. She uses probability generating functions to model these branching processes.
Areas of Expertise
- Stochastic Modeling
- Disease Dynamics
- Probability Generating Functions
Publications
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Allen, A.J., Boudreau, M.C., Roberts, N.J., Allard, A., and Hébert-Dufresne, L. Predicting the diversity of early epidemic spread on networks. Phys. Rev. Research 4(1), 013123 (2022).
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Boudreau, M.C., Allen, A.J., Roberts, N.J., Allard, A., and Hébert-Dufresne, L. Temporal and probabilistic comparisons of epidemic interventions. Bull. of Math. Biol. 85(12), 118 (2023).
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Stuart, R.M. et al. HPVsim: An agent-based model of HPV transmission and cervical disease. PLOS Comp. Biol. 20(7), e1012181 (2024).
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Clifton Forlines and Kent Wittenburg. 2010. Wakame: sense making of multi-dimensional spatial-temporal data. In Proceedings of the International Conference on Advanced Visual Interfaces (AVI ’10), Giuseppe Santucci (Ed.). ACM, New York, NY, USA, 33-40.
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