Kévin Jacq is a PhD-trained data analysis engineer specializing in hyperspectral imaging, spectroscopy and chemometrics to build predictive models for soil and sediment organic matter, pollutants and sedimentary deposits. With nine years of experience across academic and applied labs, he combines image processing, data fusion and machine learning (PLS, SVM, ANN) to extract quantitative and qualitative environmental indicators from non-destructive sensors. His work bridges analytical chemistry and computer science, turning multispectral and infrared acquisitions into spatialized, interpretable maps used in paleo-environmental studies. Based in Quimper, Brittany, he has moved from instrument validation and spectral acquisition to postdoctoral research, reflecting a practical bent for translating lab methods into robust workflows. Less obvious: he pairs strong hands-on sample preparation and spectroscopy skills with custom Matlab interfaces and reproducible data pipelines, enabling routine use of advanced models in field-relevant contexts.
9 years of coding experience
Master's degree, Chemometrics, Analytical chemistry, Master's degree, Chemometrics, Analytical chemistry at Université de Bretagne Occidentale
Bachelor's degree, Sciences, Bachelor's degree, Sciences at Lycée du Léon
PhD, Chemistry, PhD, Chemistry at Université Savoie Mont Blanc
Contributions:33 commits, 4 PRs, 18 pushes in 1 year 11 months
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