November 15, 16, 17, 2022: Machine Learning for Life Sciences

The Director of the Faculty of Science is organizing, together with François Rousset (ISEM, University of Montpellier / CNRS / IRD / EPHE), Laurent Journot (IGF, CNRS, INSERM, University of Montpellier), Joseph Salmon (University of Montpellier, IUF), Claudia Restrepo-Ortiz (University of Montpellier, KIM Data & Life Sciences), Charles-Elie Rabier (University of Montpellier, KIM Data & Life Sciences) this conference with the aim of connecting researchers and promoting interdisciplinary collaborations, in the field of massive data, machine learning and artificial intelligence in relation to life sciences.

The last decade has seen an unprecedented explosion of data related to health, environment and agriculture. This has a tremendous impact on the development of these disciplines. Understanding this information is not simple. Not only are there practical difficulties related to the storage and handling of these massive data sets, but there are also issues related to the analysis and interpretation of the results obtained.

Speakers :

Stephen Becker (University of Colorado Boulder)
Michael Blum (SeqOne)
Julien Chiquet (INRAE, Paris-Saclay University)
Sophie Donnet (INRAE,Paris-Saclay University)
Emmanuel Faure (CNRS & LIRMM, Montpellier)
Flora Jay (CNRS, Paris-Saclay University)
Tim Landgraf (University of Berlin)
Charles-Henri Lecellier (CNRS, IGMM & LIRMM, University of Montpellier)
Diego Marcos (Inria, University of Montpellier)
Gabriel Peyré (CNRS & École Normale Supérieure Paris)
Daniele Silvestro (University of Fribourg)
Yun S. Song (UC Berkeley)
Bertrand Thirion (Inria, Team Parietal, Univ. Paris-Saclay)
Nathalie Vialaneix (INRAE, Toulouse)