Kevin Winner
Staff Scientist at Yale University
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolKevin Winner is a staff scientist and computational ecologist with a decade of experience developing probabilistic and graphical-model-based machine learning methods for population dynamics, spatial ecology, and animal movement. Based at Yale’s Center for Biodiversity and Global Change, he combines deep probabilistic inference expertise with large-scale ecological data—ranging from moth and salamander time-series to continent-scale bird migration inferred from Doppler radar. He earned a PhD in computer science from UMass Amherst and brings a strong experimental background in teaching and applied research from academic and government labs including the Smithsonian. Kevin’s research is notable for tackling latent-variable models with countably infinite support for abundance time series, a niche that bridges rigorous theory and actionable conservation insights.
10 years of coding experience
8 years of employment as a software developer
University of Massachusetts AmherstUMBC
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
stochastic6
matlab6
surveillance6
toolbox5
modeling4
machine-learning3
Programming languages (2)
Github contributions (5)
kwinner/kwinner.github.io
Aug 2017 - Jul 2022
Contributions:34 pushes, 1 branch in 4 years 11 months
JetzLab/github-demo
Mar 2021 - Mar 2021
Contributions:3 pushes, 1 branch in 1 day
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