Portrait Florence D’Alché-Buc
Florence D'Alché-BucProfessor
IDS dept. head (Sept. 2021) - Holder of the Data Science and Artificial Intelligence for Digitalized Industry and Services Chair

Repères biographiquesShort Biography

Florence d’Alché-Buc has been since 2014 a full professor at Télécom Paris, an IMT grande école. Previously, she was a professor at Université d’Evry, an ATIGE (Genopole Thematic Incentive Actions) researcher and joint head of the IBISC lab. She launched and managed the Challenges program as part of the PASCAL European network (2004-08) and since 2017, has become the scientific director of the Digiscome Labex. Her research is on machine learning, network inference, structured prediction and dynamical system modeling.

Since January 2019, she holds the Data Science and Artificial Intelligence for Digitalized Industry and Services Research and Teaching Chair.

From September 2021, she is Images, Data, Signal department head.

She has authored more than 80 articles in international journals and conference proceedings.


Activités : enseignement, recherche, projetsActivities : Teaching, Research, Projects

Research interests

Machine Learning & Artificial Intelligence, bioinformatics & medical applications.

Subdomains: (Operator-valued) Kernel Methods, Structured Output Prediction, Reliable Machine Learning, Dynamical Systems Modeling.


As part of her teaching work, she was for several years co-head of the Data Science Master 2 at Université Paris-Saclay jointly awarded by École Polytechnique, ENSAE Paris and Université Paris Sud.  She participated in the conception of the new continuous education programs in artificial intelligence: a Post-Master Degree and a specialist certificate. She is also responsible for the Bearing Point Data Science Education Chair.

@Télécom Paris

  • Machine Learning (2nD Year, level Master 1)
  • PACT Project
  • PRIM Project

@Ecole polytechnique

Master of Mathematics and applications, Université Paris-Saclay

  • Advanced Machine Learning: from theory to practise
  • Structured Data: learning, prediction, dependency, testing

@Télécom Evolution

Professional training:

  • Specialized Certificates Studies (CES) Data Scientist: Introduction to Machine Learning
  • Machine Learning and Advanced Machine Learning

And also

University Professor on secondment, Université d’Evry/Université Paris-Saclay.
Associated member and founder of the group AROBAS at IBISC, Université d’Evry/Université Paris-Saclay.
Occasional collaborator of CMAP, Ecole Polytechnique.

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