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Michele Sebag
Affiliation: Principal scientist CNRS (Directrice de recherche de 1ere classe)
Member Académie des Technologies
Head of Équipe A-O - Laboratoire de Recherche en Informatique
Co-head (with Marc Schoenauer) of Project-Team TAU
Email: sebag at lri dot fr
Phone: ---
Address: Equipe A & O
  Université Paris Saclay
  91190, Gif sur Yvette, FRANCE
Some invited talks and tutorials
CVs and Previous Activities
On-going Projects Responsibilities
   International    France
  • Member of DataIA Board (since 2016)
  • Académie des Technologies, Member of Comité des Travaux
  • Member of INS2I Council (2010-2014)
On-going PhD students

  • Armand Lacombe
  • Eléonore Bartenlian (with Frédéric Pascal)
  • Victor Berger
  • Roman Bresson (with Johanne Cohen)
  • Héri Rakotoarison (with Marc Schoenauer)
  • Nilo Schwencke (with Etienne Ollion)
Former PhD students


See Tao Courses

Short Bio

With a background in maths (Ecole Normale Supérieure), Michèle Sebag went to industry (Thalès) where she started to learn about computer science, project management, and artificial intelligence. She got interested in AI, became consulting engineer, and realized that machine learning was something to be. She was offered the opportunity to start research on machine learning for applications in numerical engineering at Laboratoire de Mécanique des Solides at Ecole Polytechnique.

After her PhD at the crossroad of machine learning (LRI, Université Paris-Sud Orsay), data analysis (Ceremade, Université Paris-10 Dauphine) and numerical engineering (LMS, Ecole Polytechnique), she entered CNRS as research fellow (CR1) in 1991.

In 2001, she took the lead of the Inference and ML group, now ML & Optimization, at LRI, Université Paris-Sud. In 2003 she founded together with Marc Schoenauer the TAO (ML & Optimization) INRIA project.

Her research interests include causal modelling, preference learning, isurrogate optimization and machine learning applications to social sciences.