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.

The objective of the conference organized by the KIM Data & Life Sciences is to connect researchers and promote interdisciplinary collaborations, in the field of massive data, machine learning and artificial intelligence with connections to life sciences.

Registration

The number of registrations has been reached, registrations are now closed.

Dates

November 15, 16 and 17 2022.

Speakers

We will have the pleasure to have the following keynote speakers :

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

Organizers

Jean-Michel Marin (Université de Montpellier)

François Rousset (ISEM, Université de Montpellier / CNRS / IRD / EPHE)

Laurent Journot (IGF, CNRS, INSERM, Université de Montpellier)

Joseph Salmon (Université de Montpellier, IUF)

Claudia Restrepo-Ortiz (Université de Montpellier, KIM Data & Life Sciences)

Charles-Elie Rabier (Université de Montpellier, KIM Data & Life Sciences)