Marie-Laure Delignette-Muller

Marie-Laure Delignette-Muller is a Lecturer and Researcher at VetAgro Sup, where she teaches biostatistics modules in the veterinary curriculum and a course on critical article reading methodology. She is affiliated with the Laboratoire de Biométrie et Biologie Evolutive at Université Lyon 1, part of UMR CNRS 5558. Her research focuses on developing statistical methods for risk assessment in environmental health, including hierarchical models, nonlinear models, and Bayesian inference. She specializes in dose-response modeling of omics data and has contributed to R packages like fitdistrplus, nlstools, and DRomics to facilitate method implementation.

Her work spans diverse fields such as veterinary epidemiology, ecotoxicology, and radioecology, with notable projects including the ANSES STRATA project on PFAS toxicity and the EC2CO DRing project for automated dose-response modeling. She collaborates on studies involving diagnostic test harmonization for Coxiella burnetii, colistin resistance in pigs, and Chernobyl ecosystem impacts. Her research integrates statistical rigor with practical applications, bridging academia and environmental management.

Key contributions include advancing Bayesian approaches for imperfect diagnostic tests and applying machine learning (e.g., CNN-based pulmonary abnormality detection in cats). She actively publishes in journals like Preventive Veterinary Medicine, Journal of Hazardous Materials, and BMC Biology, and her methodologies are widely adopted through R packages.