The tenth edition of the IN2P3 School Of Statistics will be held from Monday, June 1 to Friday, June 5 2026 in Aussois (Savoie).
The school is intended for PhD students, post-doctoral researchers, and senior scientists and engineers who wish to strengthen their expertise or explore new methods in statistical analysis and machine learning as applied to subatomic physics, astroparticle physics, and cosmology.
The school combines lectures and hands-on sessions with (online) Jupyter notebooks. All lectures will be given in English.
The School Of Statistics is supported by CNRS/IN2P3 and MIAI Cluster.
The school is intended for PhD students, post-doctoral researchers, and senior scientists and engineers who wish to strengthen their expertise or explore new methods in statistical analysis and machine learning as applied to subatomic physics, astroparticle physics, and cosmology.
The school combines lectures and hands-on sessions with (online) Jupyter notebooks. All lectures will be given in English.
The School Of Statistics is supported by CNRS/IN2P3 and MIAI Cluster.
Programme
Courses and hands-on sessions (get ready !)- Basic concepts of statistics: Romain Madar (LPCA, Clermont-Ferrand)
- Classical interval estimation, limits, systematics and beyond: Lydia Brenner (CERN) and Nicolas Berger (LAPP, Annecy)
- Introduction to machine learning: Vincent Barra (UCA, Clermont-Ferrand) and Yann Coadou (CPPM, Marseille)
- Bayesian statistics and sampling techniques: Florian Ruppin (Université Lyon 1 - IP2I) and Cyrille Doux (LPSC, Grenoble)
- Introduction to deep learning: Florian Ruppin (Université Lyon 1 - IP2I)
- Simulation based inference: Cyrille Doux (LPSC, Grenoble)
Registration fees
- CNRS employees (ie directly paid by CNRS): 0€
- PhD students in a IN2P3 lab: 300€
- All other participants: 900€