Marc Schoenauer is Principal Senior Researcher (Directeur de Recherche 1ère classe) with INRIA, the French National Institute for Research in Computer Science and Controli, where he is also Deputy Director of Research, in charge of AI. He graduated at Ecole Normale Supèrieure in Paris, and obtained a PhD in Numerical Analysis at Université Paris 6 in 1980. From 1980 until Aug. 2001 he has been full time researcher with CNRS (the French National Research Center), working at CMAP (the Applied Maths Laboratory) at Ecole Polytechnique. He then joined INRIA, and later founded the TAO team (Thème Apprentissage et Optimisation, i.e., Machine Learning and Optimization Theme), that became TAU (TAckling the Underspecified) in 2017, at INRIA Saclay in September 2003 together with Michèle Sebag. He has been part-time Associate Professor at Ecole Polytechnique in the Applied Maths Department from 1990 to 2004.
Marc Schoenauer has been working in the field of Evolutionary Computation (EC) since the early 90s, more particularly at the interface between EC and Machine Learning (ML). He is author of more than 150 papers in journals and major conferences of these fields. He is or has been advisor of 35 PhD students.
Marc Schoenauer has been Chair of SIGEVO, the ACM Special Interest Group for Evolutionary Computation (2015-2019), now on the Advisory Board. He was Senior Fellow and member of the Board of the late ISGEC (International Society of Genetic and Evolutionary Computation), that has become ACM-SIGEVO in 2005. He has served in the IEEE Technical Committee on Evolutionary Computation from 1995 to 1999, and is member of the PPSN Steering Committee. He was the founding president (1995-2002) of Evolution Artificielle, the French Society for Evolutionary Computation, and has been president of AFIA, the French Association for Artificial Intelligence (2002-2004). He seconded Cédric Villani in writing his report on the French Strategy for AI delivered to the French President in March 2018.
Marc Schoenauer has been Editor in Chief of Evolutionary Computation Journal (2002-2009, now on the Advisory Board), is or has been Associate Editor of IEEE Transactions on Evolutionary Computation (1996-2004), Theoretical Computer Science - Theory of Natural Computing (TCS-C) (2001-2006), Genetic Programming and Evolvable Machines Journal (1999-2017, now on the Advisory Board), the Journal of Applied Soft Computing (2000-2014), and the recent (2019) ACM Trans. on Evolutionary Learning and Optimization. He is Action Editor of Journal of Machine Learning Research (JMLR) since 2013. He serves or has served on the Program Committees of most major conferences in the fields of Evolutionary Computation and Machine Learning.
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