Francis Bach is a researcher at Inria and since 2011 leads the machine learning statistical team of the Computer Science Department of the École Normale Supérieure (ENS) which is shared between the CNRS, the ENS and Inria. He has been an associate professor at the ENS since 2016. He graduated from the Ecole Polytechnique (1997) and obtained his thesis in Computer Science from the University of Berkeley in 2005, under the supervision of Professor Michael Jordan. After two years at the Center for Mathematical Morphology at the Ecole des Mines de Paris, he joined the CNRS / ENS / Inria artificial vision team from 2007 to 2010.
He is mainly interested in the algorithmic and theoretical aspects of machine learning, and more specifically in parsimonious methods, kernel-based methods, large-scale optimization, artificial vision and signal processing.
Francis Bach received a “Starting Grant” in 2009 and a “Consolidator Grant” in 2016 from the European Research Council. He received the Inria Young Researcher Prize in 2012, the “test-of-time ICML” prize in 2014, as well as the Lagrange Prize in continuous optimization in 2018 and the Jean-Jacques Moreau Prize in 2019. In 2015, he was co-president of the program committee of the International Conference in Machine Learning (ICML) and its president in 2018. He is currently co-editor-in-chief of the Journal of Machine Learning Research (JMLR).
François Laviolette is a full professor in the Department of Computer Science and Software Engineering at Université Laval. His research focuses on artificial intelligence, particularly machine learning. He is the leader of the PAC-Bayesian theory, which allows us to better understand machine learning algorithms and to design new ones. He is interested in machine learning algorithms for solving problems related to genomics, proteomics and drug discovery. He is also interested in making artificial intelligences interpretable in order to better integrate systems where humans are in the decision loop. He is the director of the Centre de recherche en données massives (CRDM) at Laval University, which includes more than XNUMX research professors.CRDMfrom Laval University.
After starting as a business intelligence manager, then strategic marketing manager for an international service group based in Canada, Christophe Lecante then takes over the general management of several entities in the aeronautics field.
In 2003, TecKnowMetrix (TKM) was born within the Grenoble incubator from a spin-off of public research (Inra and University of Grenoble). Software publisher and service company, TKM specializes in the use of Big Data applied to scientific literature.
Chritsophe Lecante participates in many circles of reflection and work on innovation and the relationships between Science and Society. It supports large groups, research centers and start-up promoters in the implementation and management of their innovation strategies. He is a member of the jury for competitions such as “Doctors Entrepreneurs”, “Start up Connection” or even “Digital Impulse” (Meetings University Company and Huawei).
He also takes part in numerous round tables or conferences on the themes of Big Data, Intelligence and Technology Transfer.
Jean-Michel Loubes is Professor of Applied Mathematics at the Toulouse Institute of Mathematics and holder of the "Fair and Robust Learning" Chair at the Toulouse Institute of Natural and Artificial Intelligence (ANITI). After a PhD in Toulouse and Leiden, he was from 2001 to 2007 a CNRS researcher at the University of Orsay and then at the University of Montpellier. Since 2007, he is a professor at the University of Toulouse, leading the Statistics and Probability team from 2008 to 2012. He has worked in mathematical statistics on estimation methods and optimal speeds in Machine Learning. His current research focuses on the application of optimal transport theory in Machine Learning and on the issues of fairness and robustness of Artificial Intelligence. Very involved in the links between academia and industry, he was regional manager from 2012 to 2017 of the Agence de Valorisation des Mathématiques of the CNRS and sits since 2019 on the Scientific Committee of the Institut des Sciences Mathématiques et de leur Interaction (INSMI) of the CNRS.
Juliette Mattioli began his industrial career in 1990, for a thesis in pattern recognition by mathematical morphology and neural networks at Thomson-CSF. In 1993, she became a research engineer. Throughout her promotions, evolutions and mutations, she has, through the various R&D laboratories that she directed, extended her skills spectrum in the field of image processing to the fusion of semantic information, decision support for combinatorial optimization. Its presence, both in conference program committees, national bodies (#FranceIA mission, “AI 2021” plan for IdF, “Data Science & AI” Hub of the Systematic Paris-Region cluster) or international (G7 of innovators in 2017) also shows its intention to share its knowledge and participate in the emancipation of business research. Since 2010, she has been attached to the technical department of Thales to contribute to the definition of the research and innovation strategy, for the algorithmic domain with a particular focus on trusted AI but also on algorithmic engineering in order to accelerate the industrial deployment of AI-based solutions.
As Head of Digital Innovation at Pratt & Whitney Canada, Francois Provencher deals with all emerging digital technologies (including, among others, artificial intelligence, quantum computing, advanced robotics, etc.). Its main functions include technology watch, the diffusion of technologies within the company as well as the implementation of innovation management processes specific to digital technologies. It also actively participates in the development of an aero-digital ecosystem.
He was appointed Director of the Office of Technological Collaboration in 2013. This office is responsible for all research projects carried out in collaboration with universities and other aerospace companies. He has also been involved in a large number of organizations dedicated to research and education in the aerospace sector such as CRIAQ, the AIAC technology committee, GARDN, CAMAQ as well as SA2GE.
Previously, he worked at Dassault Systèmes as a consultant then manager in product lifecycle management. As part of his duties, he worked with major companies in the aeronautical and automotive sectors such as Boeing, Chrysler and Bombardier Aerospace.