I am interested in a disparate set of topics in theoretical physics and its interdisciplinary applications. A central field of my research is statistical physics of classical and quantum systems, in particular disordered systems. As for inter-disciplinary applications I am currently working on Machine Learning and Theoretical Ecology. Although all these subjects could seem quite apart one from the other—and indeed they are thematically—which makes working on them a lot of fun, they all have some common ingredients such as dynamics in high-dimensional spaces, strong relationships with advanced modern methods in probability theory, and glassy behaviors.
Contact
Office GH215
Email giulio.biroli@ens.fr
LPENS
Laboratoire de physique
de l’Ecole normale supérieure
24 rue Lhomond 75005 PARIS
Research Interests
- Slow dynamics of classical and quantum systems
- Disordered systems, classical and quantum glasses, random matrices and their applications
- Machine learning and high-dimensional statistics
- Emergent behaviours in large and interacting ecosystems
PhDs, internships and postdocs openings
Motivated and brilliant candidates are always welcome. Currently, I have open positions for one or two postdoc positions to work on the theory of
generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and theoretical computer science.
Candidates should apply before the 15th of January 2026 on AcademicsJobsOnline
Teaching and Summer Schools
- Director of Physics Graduate Program of PSL, teacher of the M1 ICFP course Phase Transitions and of the M2 ICFP course From Statistical Physics to Machine Learning & Back
- Director of the Beg Rohu Summer School of Physics
Research Networks and Synergetic Activities
- Chair of the Paris Artificial Intelligence Research Institute (PRAIRIE-PSAI)
- Director of the CFM-ENS Data Science Chair