Hugo Varet is a Paris-based statistician with 11 years of experience specializing in regression, duration and mixed models, nonparametric statistics, and Markov chains. Trained as an engineer in life sciences statistics at the École nationale de la statistique et de l'analyse de l'information, he brings deep applied expertise in R and SAS, with additional familiarity with SPAD and SPSS. He excels at turning complex real-world data into robust, interpretable models for the life sciences domain and has a strong mathematical foundation from CPGE in math and physics. Hugo’s profile suggests a practitioner comfortable bridging rigorous statistical theory and practical data analysis workflows in research or industry settings.
11 years of coding experience
CPGE, Mathématiques, Physique, CPGE, Mathématiques, Physique at Lycée Montesquieu
Ingénieur, Statistiques pour les Sciences de la Vie, Ingénieur, Statistiques pour les Sciences de la Vie at Ecole nationale de la Statistique et de l'Analyse de l'Information
Contributions:3 pushes, 1 branch, 1 comment in 6 years 1 month
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