Easton R. White is a quantitative ecologist who uses mathematical and statistical tools, coupled with experiments and field observations, to solve problems in ecology, conservation, sustainability, and ecosystem management.
Easton is currently a Research Associate in the Department of Biology at the University of Vermont. He is the instructor for Foundations of Quantitative Reasoning, a PhD course at the University of Vermont. The class is a mix of ecology, evolution, quantitative skills, and programming in R. In his role at UVM, Easton is also on the leadership team for a NSF-funded PhD traineeship focused on quantitative skills, interdisiplinary work, as well as diversity and inclusion.
Easton currently conducts research on assessing the effectiveness of protected area networks, improving species monitoring programs, and modeling socio-ecological systems in the context of fisheries. His work centers on how environmental variability (e.g. El Niño) affects ecosystems and those that depend on them.
Easton's current work is funded through a NSF grant focused on interdisiplinary approaches to study coupled natural-human systems with Madagascar fisheries as a case study.
Learn more about Easton's work on species monitoring in a recent interview with the journal BioScience.
