Justin Salez

Justin Salez is a Professor of Mathematics at Université Paris-Dauphine & PSL University and an Institut Universitaire de France junior fellow. He serves as Principal Investigator for the ERC Consolidator Grant CUTOFF project, focusing on the cutoff phenomenon in Markov processes. His academic affiliations include editorial roles at Electronic Journal of Probability and co-organizing the CEREMADE Colloquium.

• Education: Mathematics Aggregation (2007-2008), Master in Probability (2006-2007), Master in Theoretical Computer Science (2005-2006), PhD (2008-2011).
• Professional Experience: Full Professor (2019-present) and Assistant Professor (2012-2019) at Paris Dauphine/Diderot, Postdoc at UC Berkeley (2011-2012).

His research centers on Markov chain mixing times, non-negative curvature, and functional inequalities, with applications to random graphs, interacting particle systems, and MCMC algorithms. Key themes include entropy dissipation, cutoff criteria, and spectral analysis.

The 15 most recent publications highlight advances in cutoff theory, curvature-entropy relationships, and functional inequalities. These span journals like Transactions of the American Mathematical Society, Annals of Probability, and Annals of Applied Probability, reflecting interdisciplinary work in probability, spectral theory, and statistical physics.

• Scientific Awards: ERC Consolidator Grant (2023), Marc Yor Prize (2024), Bourbaki Seminar (2024), Saint-Flour Lecture (2025), and Institut Universitaire de France fellowship (2019).

As an advisor, he has supervised or is supervising PhD students including Alexandre Bristiel, Hong Quan Tran, and Guillaume Conchon-Kerjan. His lab, CEREMADE, hosts a monthly colloquium he co-organizes, fostering interdisciplinary dialogue in probability, analysis, and statistics.