Coralie Picoche is a data scientist and oceanographer with eight years of applied experience and a decade-long foundation in mathematical modeling and ecological research. She combines deep expertise in fine-scale ecological modeling, time-series and spectral analysis with practical deep learning—particularly computer vision and high-frequency signal analysis—to turn complex environmental data into actionable insights. Her work spans scientific software development in C++, Fortran and R to Python teaching and production-ready ML for plant electrophysiology and marine systems. A published researcher and reproducible-science advocate, she maintains an active GitHub portfolio and has translated theory-heavy models of plankton dynamics into tools used for monitoring and management. Based in Bordeaux, she thrives at the intersection of rigorous quantitative methods and real-world decision support, often optimizing legacy scientific codes for parallel computing and operational use.
8 years of coding experience
2 years of employment as a software developer
Doctorat, Applied Mathematics, Doctorat, Applied Mathematics at Université de Bordeaux
Diplôme d'ingénieur, Biomodélisation, Diplôme d'ingénieur, Biomodélisation at INSA Lyon
Contributions:106 commits, 16 pushes in 1 year 7 months
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