Jean Barbier received the PhD degree from the Ecole Normale Supérieure (ENS) of Paris, in 2015, where he applied statistical physics as well as message-passing algorithms to probabilistic graphical models, with applications ranging from signal processing to combinatorial optimization or coding theory. He then joined the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, as a Research Scientist from 2015 to 2018, with a focus on the rigorous aspects of high-dimensional statistical problems. He then occupied the Junior Professor Chair in data science with the ENS of Paris before joining the Abdus Salam International Center for Theoretical Physics (ICTP) in Trieste, Italy, where he is currently an Assistant Professor. His main research interests include high-dimensional statistics, statistical physics and its interdisciplinary connections with statistical inference, information theory, and machine learning.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist.