Gary Powney
Quantitative Researcher
South Oxfordshire, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGary Powney is a quantitative researcher and data scientist with 13 years’ experience turning large, unstructured ecological datasets into actionable insight using Bayesian inference, machine learning, and extensive R programming (with Python, SQL and BUGS experience). Based at UKCEH and formerly affiliated with the University of Oxford, he combines HPC-enabled analyses with reproducible workflows (Git/GitHub) to inform national biodiversity indicators and high-profile reports like State of Nature. His PhD work on trait-based drivers of species distribution underpins a research portfolio that spans peer-reviewed papers, government statistics, R packages and web apps. As a core developer of HESTIA, he helps standardise environmental impact data across agricultural supply chains—an often overlooked bridge between academic ecology and practical, interoperable data stewardship.
13 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Understanding drivers of species distribution change: a trait-based approach, Doctor of Philosophy (PhD), Understanding drivers of species distribution change: a trait-based approach at Imperial College London
Github Skills (4)
examine9
r-package9
occupancy8
coverage2
Programming languages (2)
Github contributions (5)
BiologicalRecordsCentre/TrendSummaries
Aug 2018 - Nov 2021
A collection of scripts designed to examine and visualise patterns and trends from occupancy models
Contributions:6 PRs, 32 pushes, 2 comments in 3 years 3 months
trendsoccupancypatternsexamine
BiologicalRecordsCentre/Odonata_traits
Oct 2013 - May 2017
Contributions:39 commits, 1 PR, 2 pushes in 3 years 7 months
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