Geneviève Robin
Chargée De Recherche at CNRS
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolGeneviève Robin is a CNRS Junior Researcher specializing in high-dimensional statistical learning with nine years of experience bridging theoretical methods and real-world applications in healthcare and ecology. Her work spans low-rank and sparse latent-variable modelling, developed through academic positions at École Polytechnique, ENS, Stanford and INR A, and industry research leadership roles at Owkin where she directed exploratory research programs. She combines strong mathematical foundation with hands-on applied experience in multi-source, heterogeneous and incomplete data, frequently translating complex statistical tools into actionable insights for biomedical data. Based in Paris, she is comfortable moving between academic rigor and product-driven research environments, and has a track record of mentoring cross-disciplinary teams and deploying novel methods beyond publications.
9 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.) Machine Learning, Computer Vision, Mathematics, Applied Mathematics, Master of Science (M.Sc.) Machine Learning, Computer Vision, Mathematics, Applied Mathematics at Ecole normale supérieureDiplome d'Ingénieur (M.Sc. in Engineering), Computer Science & Applied Mathematics, Diplome d'Ingénieur (M.Sc. in Engineering), Computer Science & Applied Mathematics at Ecole polytechniquePCSI-PC*, Mathematics, Physics, Chemistry, PCSI-PC*, Mathematics, Physics, Chemistry at Lycée Louis-le-Grand
French, English, German, ArabicProgramming languages (1)
Github contributions (5)
genevievelrobin/lori
Aug 2017 - Mar 2019
R Package for denoising and visualizing count data using side information
Contributions:32 commits, 27 pushes, 1 branch in 1 year 6 months
genevievelrobin/mimi
Jun 2018 - Mar 2019
Contributions:17 commits, 14 pushes, 1 branch in 8 months
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