One of the goals of ecology is to understand how biological mechanisms drive changes in ecosystems over time. My collaborators and I are developing a package in the Julia coding language that implements a new class of time series models based on universal differential equations to capture the complex nonlinear dynamics that drive changes in ecological systems while accounting for uncertainty.

Fish hatcheries can be a critical tool for biodiversity conservation, but they can have unintended evolutionary consequences. We develop a population-genetic model to assess the risk associated with a sturgeon hatchery program on the Nechako River in British Columbia.

Chinook salmon have experienced a decline in body size over the past several decades, possibly indicating increasingly stressful environmental conditions. We used long-term monitoring data to test populations with distinct life history traits are responding differently to the same environmental trends.

I have been developing bioeconomic models to evaluate strategies for investing in monitoring programs for conservation. In this paper, we evaluate how the biological and management context influences the value of information for fisheries management.

During the early stages of the COVID-19 pandemic, I developed a model to evaluate alternative strategies for prioritizing vaccines that accounted for the increased risks faced by essential workers.