Grégory Miermont

Grégory Miermont is a French mathematician specializing in probability theory, particularly in the study of random geometry, random trees, and random planar maps. He holds a research position at the French National Centre for Scientific Research (CNRS) and is affiliated with the Laboratory of Probability and Random Models (LPMM) at the University of Paris‑Saclay.

Education and Early Career

• Miermont earned his Ph.D. in mathematics in 2002 from the École Normale Supérieure (ENS) in Paris. His dissertation, supervised by Jean‑Baptiste Gouéré, focused on probabilistic aspects of random trees.
• Following his doctorate, he held postdoctoral positions at the University of Cambridge and the University of Zurich.

Research Contributions

• Miermont is known for his work on scaling limits of random planar maps, establishing connections between discrete combinatorial structures and continuous random surfaces, such as the Brownian map.
• He co‑authored significant papers on the continuum random tree, Lévy processes, and the geometry of large random graphs.
• His research frequently employs techniques from stochastic processes, geometric measure theory, and combinatorial enumeration.

Selected Publications

1. Miermont, G. (2009). The Brownian map is the scaling limit of uniform random planar quadrangulations. Annals of Probability, 37(5), 1779–1840.
2. Miermont, G., & Le Gall, J.-F. (2011). Uniqueness and universality of the Brownian map. Annals of Mathematics, 175(3), 1381–1466.
3. Miermont, G. (2013). Random maps and their scaling limits. In Probability and Statistical Physics in Two and More Dimensions (pp. 147–190). Cambridge University Press.

Awards and Recognition

• In 2015, Miermont received the Prix Paul Doistau‑Blanchet from the French Academy of Sciences for his contributions to probability theory.
• He has been invited to give plenary talks at major conferences, including the International Congress of Mathematicians (ICM) in 2018.

Professional Activities

• Miermont serves on editorial boards for journals such as Probability Theory and Related Fields and Electronic Journal of Probability.
• He participates in the organization of workshops and conferences dedicated to random geometry and stochastic analysis.

Current Work
Miermont continues to investigate scaling limits of higher‑dimensional random structures and their applications to statistical physics and combinatorial optimization. His ongoing projects involve collaborations with researchers in both mathematics and theoretical physics.