Kevin See
Research Scientist at Washington Department of Fish & Wildlife
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKevin See is a research scientist and quantitative ecologist with a decade of experience applying statistical and mathematical models to ecological and fisheries data. He specializes in maximum likelihood and Bayesian methods, hierarchical and machine-learning models, and time-series analysis to estimate species interactions and population dynamics. Currently based in Seattle, he leads efforts to monitor endangered salmonids and translate complex data into habitat-restoration guidance across the Northwest. His background spans government and industry biometric roles, including senior biometrician positions supporting identification solutions and population analyses. Trained at the University of Washington (PhD), he combines rigorous academic modeling with practical program-focused implementation—often bridging fine-scale statistical inference with actionable conservation decisions.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of WashingtonBachelor's Degree, Bachelor's Degree at Williams College
Github Skills (9)
extraction10
estimate10
occupancy9
python7
upstream7
dam6
r-package6
stream5
rapids4
Programming languages (2)
Github contributions (5)
KevinSee/QRFpaper
Dec 2020 - Feb 2025
Contributions:1 release, 10 pushes, 2 branches in 4 years 3 months
KevinSee/DabomYakimaSthd
Mar 2020 - Feb 2025
Contributions:15 pushes, 3 branches in 4 years 11 months
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