Vijay Patil is a quantitative biologist and Arctic-focused quantitative ecologist with 11 years of experience applying Bayesian hierarchical models, spatial analysis, and ecosystem modeling to inform wildlife and land management in Alaska. Based at the USGS in Anchorage, he has led projects ranging from long-term modeling of polar bear den distribution to designing habitat protection scenarios for North Slope waterfowl and coordinating a global assessment of extreme-weather impacts on freshwater algae. His work bridges rigorous statistical inference with field-based ecology, from GPS-tagging cliff-nesting seabirds to analyzing boreal peatland hydrology for biodiversity forecasting. Trained with a PhD in Ecology and an MS in Zoology, he combines deep quantitative skills with on-the-ground research experience that makes his models directly actionable for state and federal decision-makers.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Zoology/Animal Biology, Master of Science - MS, Zoology/Animal Biology at University of Alberta
PhD, Ecology, PhD, Ecology at University of Alaska Fairbanks
BS, Natural Resources Management/ Population Biology, BS, Natural Resources Management/ Population Biology at Cornell University
code for GEISHA functional group classification R package
Contributions:1 PR, 110 pushes, 3 branches in 5 years 2 months
r-packagemachine-learningclassification
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