Julien Chiquet is a senior statistics and machine learning researcher leading the UMR MIA Paris-Saclay laboratory and a Senior Researcher at INRAE. He specializes in high-dimensional data analysis for life sciences, applying sparse modeling, clustering, latent variable models, and multivariate techniques, with strong R and Python programming. His career blends academia and research institutes, with experience in teaching and a track record of methodological contributions. Based in Paris, he translates complex data into actionable insights and leads collaborative projects at the intersection of statistics and computer science. He holds an engineering degree and a PhD in reliability from UTC, reflecting a multidisciplinary foundation that informs production-ready statistical modelling.
9 years of coding experience
11 years of employment as a software developer
PhD, PhD at Université de Technologie de Compiègne
Master of Science, Master of Science at Université de Technologie de Compiègne (UTC)
Contributions:1 review, 181 commits, 3 PRs in 2 years
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