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I’m a PhD candidate in Ecology and Evolutionary Biology at Princeton University. I work with Professor Bryan Grenfell on the mathematical modeling of infectious diseases (see below for information about current research projects). I am particularly interested in developing cross-scale frameworks that link within-host immunology to population-level disease dynamics.
Prior to beginning my PhD, I gained a first class masters in mathematics from the University of Glasgow in 2013. My thesis focussed on using random walk theory to model the growth of new blood vessels in response to tumors.
- Exploring the impact of demographic changes on the dynamics of imperfectly immunizing infections (e.g. rotavirus, influenza). Ultimately we aim to understand how within-host immune parameters impact population-level disease dynamics and the efficacy of vaccination programs.
- Modeling a recent outbreak of dolphin morbillivirus amongst coastal bottlenose dolphins along the US East Coast. In collaboration with NOAA we adapted a spatial clustering framework from the seismology literature to infer previously unquantified epidemiological parameters such as the infectious period and reproduction number of the virus.
- Identifying patterns, and underlying driving mechanisms, in the spatiotemporal spread of influenza. Current work focusses on how spatial scale and resolution impact predictions of epidemic synchrony in Norway, Denmark, and Sweden.
- Modeling the within-host dynamics of measles virus to better understand how nonlinear interactions between the virus and host immune system shape the ultimate outcome of infection.