Carl Duchesne (Ph.D., Eng. Chemical Engineering) is a full professor in the Department of Chemical Engineering at Université Laval and a member of the Board of Directors of the Centre de recherche sur l'aluminium - REGAL. His research focuses on improving industrial process operation and decision-making by exploiting massive data, in the context of Industry 4.0. His work focuses on the development of multivariate statistical methods with latent variables to design process monitoring and quality control strategies. He also applies them to the development of virtual sensors and image-based process analytical technologies and other types of instruments. He held the Teaching Leadership Chair in Industrial Data Analytics in Chemical Engineering (2016-2021). His research is underpinned by long-standing industrial collaborations, notably in the metal and materials production and pharmaceutical manufacturing sectors. He is a regular member of the Centre de recherche sur l'aluminium - REGAL, a collaborating member of the Centre de recherche en données massives de l'Université Laval (CRDM), and a member of the Laboratoire d'Observation et d'Optimisation des Procédés (LOOP) at Université Laval.