Brynn Case
Currently I am a postdoc in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University, where I am working in the lab of Spencer Fox. I previously worked with Spencer at the University of Georgia. My research involves combining mechanistic modeling and Bayesian statistics for the study of epidemiology and ecology. I’m particularly interested in using these tools for informing how data should be collected and for assessing control options from an information-theoretic perspective. Download my CV here.
I completed my PhD in Computer Science at the University of Vermont in 2023, co-advised by Laurent Hébert-Dufresne and Jean-Gabriel Young. Before coming to UVM, I obtained an MRes. degree in Natural Computation at the University of Birmingham, where I studied theoretical runtime analysis of Evolutionary Algorithms, and recieved a B.A. in Mathematics at Oberlin College.
My hobbies are running 🏃♀️, cooking 👩🍳, and eating 🍽. I love all things outdoors and spending time with our two dogs, Sammie and Dot.
news
| Oct 14, 2026 | Our work on seasonal respiratory disease forecasting has been published in Nature Communications Medicine! We propose a flexible hierachical model incorporting seasonal and short-term spatiotemporal effects with regional correlations, and show it can accurately predict influenza, COVID-19, and RSV hospitalizations. The model was the top individual forecast model during the 2023-24 and 2025-26 CDC FluSight challenges, and is currently the top individual model in the CDC COVID-19 Forecast Hub. Find the manuscript in press here. |
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| Sep 01, 2026 | I’ve started my new postdoctoral position at Northern Arizona University, following the lab of Dr. Spencer Fox from UGA. I’m excited to continue our group’s work and to foster new collaborations at NAU! |
| May 05, 2025 | A preprint for our first paper as a lab is now online! We show a spatiotemporal hierachical model can accurately forecast a variety of infectious diseases. Find it here. |
| Aug 18, 2023 | A preprint for our paper, “Accurately summarizing an outbreak using epidemiological models takes time,” is now online. |
| Jun 03, 2022 | Yesterday our work on adaptive control strategies to manage Chagas disease vectors was published in PLoS Neglected Tropical Diseases! |