I’m Kelsey Vitense, a PhD candidate in the Department of Fisheries, Wildlife, and Conservation Biology at the University of Minnesota. I am currently working with John Fieberg to identify and quantify the impacts of watershed and in-lake features on the dynamics of clear- and turbid-water alternative regimes in shallow lakes.

As a quantitative ecologist, I am broadly interested in applications of mathematical and statistical models to ecological and natural resource problems. My specific research interests include modeling and simulation of dynamical systems, Bayesian methods of inference, and, more recently, machine learning.


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