معرفی
Patrick Tardivel is an Associate Professor at the University of Burgundy, specializing in statistical learning and biostatistics. His research focuses on the SLOPE estimator, sparsity, and geometric properties in penalized estimation. He has contributed to mathematical modeling in metabolomics and occupational health risk assessment. Tardivel holds a PhD in Statistics and completed his HDR thesis on SLOPE estimator properties.
- Education: PhD in Statistics, HDR thesis on SLOPE estimator
Research Interests: Tardivel's work bridges statistical learning, biostatistics, and metabolomics. Key areas include multiple testing procedures, sparse representations, and geometric interpretations of penalized estimation. He applies these methods to biomedical and occupational health data analysis.
Collaborations: He actively participates in the joint statistical learning seminar organized by the University of Lund, University of Burgundy, and University of Wroclaw, hosted via Zoom. Tardivel also contributes to software development for NMR spectra analysis through the ASICS R package.
Contact:
- Email: patrick.tardivel@u-bourgogne.fr
