Kevin Winner

Kevin Winner's picture
Postdoctoral Associate in Ecology and Evolutionary Biology
Area of Interest: 
Joint Species Distribution Models, Spatial Models, Point Processes, Machine Learning, Statistical Ecology, Discrete Statistics, Kernel Methods, Metacommunity Dynamics, Abundance Dynamics, Movement Ecology

Postdoctoral Associate



Area of Interest

My current research focuses on applying machine learning techniques to model global-scale patterns of biodiversity and species distributions. I am also interested in birth-death processes for population dynamics, niche modeling with animal movement data, and point-process models for metacommunity analysis. In general, I’m interested in developing models that unify multiple traditional ecological processes. Before coming to Yale, I completed my PhD in computer science at the University of Massachusetts, Amherst, where my research focused on novel demography models for populations of unmarked individuals.

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