Louise Travé-Massuyès holds a position of Directrice de Recherche at CNRS, affiliated to LAAS-CNRS, Toulouse, France. She graduated in control engineering in 1982 and received  the Ph.D.  degree in 1984, both from INSA, Toulouse, France. Her research interests are all related to diagnosis reasoning, tackled by model-based and data-driven approaches. This theme, which she developed throughout her career, led her to consider various formalisms, from both the Artificial Intelligence and the Automatic Control fields, to address problems related to diagnosis. She has been responsible for several industrial and European projects and published more than 250 papers in scientific journals and international conference proceedings and 4 books.

She holds the chair “Anomaly Detection & Diagnosis“ in the Artificial and Natural Intelligence Toulouse Institute (ANITI), France.

She serves in the Editorial Board of the Artificial Intelligence Journal. She is member of the International Federation of Automatic Control (IFAC) Safeprocess Technical Committee.