Noémie Roussel holds a Master's degree in Civil Engineering from ENSG in Nancy, and is currently a PhD student at Aix-Marseille University. Her work is co-supervised by the engineering consulting firm Artelia and the research institute INRAE. The focus of her research is the development of machine-learning-based methods for the analysis of dam monitoring data, with a particular emphasis on anomaly detection. Her presentation entitled "Advanced Methods for Anomaly Detection in Monitoring Data," will provide a detailed exposition of her research, illustrated by the case study of a French gravity dam.