Koffi Noumonvi

PhD Candidate

Umeå, Sweden
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Summary

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Senior
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Koffi Noumonvi is a PhD candidate and GIS-focused software engineer with eight years of experience applying geospatial programming, UAV imaging, eddy covariance data, and machine learning to environmental and forestry research. Based at SLU in Umeå, he models methane emissions from boreal peatlands and translates complex ecological measurements into reproducible analysis and tools. His background spans field-facing forestry roles to senior technical advising and hands-on GIS/remote sensing consultancy, giving him a rare blend of applied ecosystem science and software development. Skilled in turning geospatial data into decision-ready products, he emphasizes reproducible workflows and societal impact through technology.
code8 years of coding experience
job2 years of employment as a software developer
bookMaster in Forest Science, Master in Forest Science at Università degli Studi di Padova
bookDoctor of Philosophy - PhD, Soil Sciences, Doctor of Philosophy - PhD, Soil Sciences at SLU - Swedish University of Agricultural Sciences
bookWater and Forest Engineer's degree, elective: Geomatics of Natural Resources, Water and Forest Engineer's degree, elective: Geomatics of Natural Resources at National Forestry School of Engineers (ENFI-Morocco)
bookHigh School diploma, Mathematics and Natural Sciences, High School diploma, Mathematics and Natural Sciences at High School SOKE Le Leader (Notsé-Togo)
bookMaster of science in Mediterranean Forestry and Natural Resources Management (MEDfOR), Master of science in Mediterranean Forestry and Natural Resources Management (MEDfOR) at Instituto Superior de Agronomia
bookUniversity Studies Diploma in Science and Techniques, Biology-Chemistry-Geology, University Studies Diploma in Science and Techniques, Biology-Chemistry-Geology at University Moulay Slimane, Béni mellal
languagesFrench, English, Italian, Portuguese, Swedish
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Stackoverflow

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Github Skills (74)

shapefile8
system-information8
openstreetmap8
tms8
qgis8
spatial8
wps8
gis8
geotools8
data-management7
gdal7
backend7
osrm7
ogc7
r-package7

Programming languages (10)

TypeScriptC++RShellCSSCJavaScriptGo

Github contributions (5)

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Contributions:429 pushes, 1 branch in 5 months
bravemaster3/PostEddyPro

Jul 2022 - Oct 2024

This is a package for simplifying and making reproducible the postprocessing of eddycovariance data after Eddypro step
Contributions:1 release, 2 PRs, 81 pushes in 2 years 3 months
postprocessingsimplifyingreproducible
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