Romain Wenger
Chercheur Postdoctoral at LIVE UMR7362
Strasbourg, Grand Est, France
Summary
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Senior🎓
Top SchoolRomain Wenger is a postdoctoral researcher based in Strasbourg with eight years of experience applying remote sensing, machine learning and AI to environmental and land‑use monitoring. He completed a Master in Observation de la Terre et Géomatique and a PhD focused on large-scale satellite time-series analysis at LIVE/Université de Strasbourg and CNRS, turning massive imagery stacks into actionable land‑cover insights. Comfortable bridging software engineering (C#.NET, research tooling) and geospatial science, he has built end-to-end solutions from data pipelines to ML models for environmental applications. Known for combining rigorous academic methods with practical engineering, he also brings hands‑on experience from industry and student roles that sharpen communication and product-minded development.
8 years of coding experience
Baccalauréat, Scientifique, Baccalauréat, Scientifique at Le Gymnase Lucie Berger - Jean SturmLicence 2 de géographie, Formation des enseignants de géographie, Licence 2 de géographie, Formation des enseignants de géographie at Université de StrasbourgDUT Mention Informatique, Informatique, Assez Bien, DUT Mention Informatique, Informatique, Assez Bien at IUT Robert SCHUMAN
English
Github Skills (5)
datasets9
deep-learning7
modis6
file-conversion4
time-series2
Programming languages (2)
Github contributions (5)
r-wenger/land-use-land-cover-datasets
May 2022 - Jul 2022
List of datasets and codes for remote sensing LULC applications.
Contributions:22 commits, 16 pushes, 1 branch in 2 months
datasetsdeep-learningremote-sensing
r-wenger/create_dataset
Jun 2021 - Jan 2022
Contributions:1 release, 41 pushes, 1 tag in 7 months
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