## Manon MichelI am a researcher at the interface between Physics, Mathematics and Computer Science. My main interest is to study and break the theoretical locks which impede the efficiency of algorithms (mainly Monte Carlo methods) in statistical Physics, Bayesian statistics and Bayesian machine learning. I approach these problems by the study of complex systems, notably around phase transitions, and by the analysis of the convergence and coupling of Markov chains. I currently focus on the implementation of irreversible Markov chains in Monte Carlo methods. Since October 2018, I am a CNRS researcher (CR) at the LMBP (Laboratoire de Mathématiques Blaise Pascal - UMR 6620) at Université Clermont - Auvergne (France) in the Probability, Analysis and Statistics team. You can find a list of my publications on my Google Scholar. |

### Gallery

## Recent works |

## Some historical simulations |