Develop methodological tools for modelling,
analysis and understanding of structured data,
numerous and/or large data sets using tools from information theory
statistical learning and geometry.
Design efficient algorithms for high-dimensional inference,
allowing their controlled and efficient use in many applications.


  • Signal
  • Image
  • Probabilistic, quantum and algorithmic information theory
  • Communications
  • Machine learning
  • Statistics
  • High-dimensional inference
  • Tensors
  • Geometries
  • Manifolds
  • Graphs
  • Algorithms
  • Optimization
  • Sampling
  • Stochastic processes
  • Applications in physics : astrophysics, geophysics, biophysics, oceanography, etc.