Joseph Percival is a postdoctoral researcher and software engineer with nine years of experience blending remote sensing, ecology, and GIScience into practical tools for environmental analysis. Based in Hilo, Hawaii, he applies geographically weighted modeling and satellite image classification techniques developed during his graduate work at Kyoto University to real-world conservation and land-management problems. He has a strong teaching and support background—from leading a 40-person tech help desk to serving as a graduate teaching assistant—bringing clear communication and mentorship to technical projects. As a software engineer and consultant at Penetrator and formerly at Georepublic Japan, he bridges research-grade analytics with production software practices using Python and R. His interdisciplinary training (BA with honors in Physics, Economics and Environmental Studies; advanced studies at Kyoto and coursework in Pacific archaeology) gives him an unusual ability to link ecological questions to spatial-data solutions. He is quietly prolific in developing R functions and geospatial workflows that make satellite-derived insights more reproducible and accessible.
9 years of coding experience
10 years of employment as a software developer
Coursework in Pacific archaeology and history, Coursework in Pacific archaeology and history at National University of Samoa
Master's in Environmental Management, (Focus in Spatial Analysis, Remote Sensing, Ecology), Master's in Environmental Management, (Focus in Spatial Analysis, Remote Sensing, Ecology) at Kyoto University
Bachelor of Arts (B.A.), cum laude, Physics, Economics, and Environmental Studies (Highest Honors), Bachelor of Arts (B.A.), cum laude, Physics, Economics, and Environmental Studies (Highest Honors) at Brandeis University
A python package for calculating forest structural metrics from airborne point clouds.
Contributions:8 releases, 29 PRs, 96 pushes in 1 year 8 months
ecologyforest-structurelidarpoint-cloud
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