Professeur Des Universités at Conservatoire National des Arts et Métiers
Paris, Ile-de-France
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Summary
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Frédéric Bertrand is a Full Professor of statistical modeling and data science at CNAM Paris with over a decade of academic experience spanning research, teaching and supervision in mathematics and statistics. His work bridges classical multivariate methods (MCA, FAMD, MFA, STATIS), design of experiments and mixed models with modern time series, machine learning and deep learning applications, routinely implemented in R, Python and Julia. Trained at ENS Lyon and habilitated at the University of Strasbourg, he combines rigorous theoretical grounding with practical software skills across SPSS, MINITAB and SAS. He has a sustained academic trajectory from PhD student to full professor, indicating deep commitment to pedagogy and long-term research programs. Notably, he maintains a research profile that integrates correspondence analysis traditions with contemporary AI methods, enabling interpretable models for complex structured data.
12 years of coding experience
11 years of employment as a software developer
Magistère, Mathematics, Magistère, Mathematics at Ecole normale supérieure de Lyon
Mathematics, Physics and Computer Science, Mathematics, Physics and Computer Science at MP* Kléber
L3 M1 M2, Mathematics, L3 M1 M2, Mathematics at Université Claude Bernard (Lyon I)
Habilitation à diriger des recherches, MATHEMATICS AND STATISTICS, Habilitation à diriger des recherches, MATHEMATICS AND STATISTICS at University of Strasbourg
Ph.D, Mathematics - Statistics, Ph.D, Mathematics - Statistics at Université Louis Pasteur (Strasbourg I)
Contributions:34 commits, 4 PRs, 32 pushes in 10 months
imputationcdrdataminingquantilebioinformatics
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Frédéric Bertrand - Professeur Des Universités at Conservatoire National des Arts et Métiers