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.
- Probabilistic, quantum and algorithmic information theory
- Machine learning
- High-dimensional inference
- Stochastic processes
- Applications in physics : astrophysics, geophysics, biophysics, oceanography, etc.