Ben Augustine
Biologist at U.S. Geological Survey (USGS)
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolBen Augustine is a biologist and quantitative ecologist with 10+ years translating complex ecological questions into novel statistical models and estimation algorithms, currently applying those skills at the U.S. Geological Survey. His work spans eDNA dynamics in river networks, spatial capture–recapture and mark–resight methods, and integrating machine/deep learning classification error into abundance estimation for birds and marine mammals. A collaborative interdisciplinary researcher and mentor, he routinely pairs ecological field work (from camera traps to GPS collars) with advanced statistical solutions to deliver actionable wildlife management insights. Ben’s blend of rigorous mathematical training (MSc in Mathematical Statistics, PhD in Fish and Wildlife Conservation) and applied experience gives him a rare ability to move methods from theory to operational monitoring, including early invasive species detection. An active academic author with a public Google Scholar profile and a GitHub presence, he combines open research practices with practical tools for conservation science.
10 years of coding experience
10 years of employment as a software developer
Ph.D, Fish and Wildlife Conservation, Ph.D, Fish and Wildlife Conservation at Virginia TechM.SC., Mathematics Statistics, M.SC., Mathematics Statistics at University of Kentucky
Github Skills (6)
spim8
e-mail5
markov2
machine-learning1
user-friendly1
hidden1
Programming languages (1)
Github contributions (5)
benaug/benaug.github.io
Jul 2017 - Jun 2025
Contributions:1 push, 1 branch in 8 years 1 month
benaug/OpenPopSCR
May 2017 - Jan 2022
Contributions:43 commits, 48 pushes, 1 branch in 4 years 9 months
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