
معرفی
Matteo D'Achille is an Associate Professor (maître de conférences) of Probability at the Institut Élie Cartan de Lorraine, Université de Lorraine, France, since September 2025. He previously held post-doctoral positions at Laboratoire de Mathématiques d’Orsay (2022-2025) and at LAMA, Université Paris-Est Créteil (2020-2022), and obtained his PhD from Paris-Saclay University in 2020.
Education:
- Ph.D. in Mathematics, Paris-Saclay University, 2020
- M.Sc. in Physics (110/110 cum laude), University of Milan, 2016
- B.Sc. in Physics (110/110), University of Milan, 2012
Research interests: D’Achille’s work lies at the interface of probability theory, statistical mechanics and random combinatorial optimisation. He investigates random geometric structures such as ideal Poisson–Voronoi tessellations in hyperbolic spaces, massive spanning forests, and random assignment problems on manifolds. A recurrent theme is the study of Gibbs measures and their stability under renormalisation transformations, exemplified by his analyses of decimated Ising and rotator models.
Publications trend: His 13 papers (9 published, 4 submitted) display a steady trajectory from early works on one-dimensional random matching to recent deep contributions on hyperbolic random tessellations and extremal Gibbs states on Lobachevsky lattices. The research spans pure probability, rigorous statistical physics and discrete geometry, often combining exact computations with probabilistic limit theorems.
Grants & recognition: He was awarded a €2.25k travel grant (2023-2025) from the Fondation Mathématique Jacques Hadamard and serves as a peer reviewer for leading journals including Ann. Inst. Henri Poincaré B, Prob. Theory Rel. Fields, Electronic J. Probability, IEEE Trans. Information Theory and Phys. Rev. X.
Supervision & seminars: D’Achille currently advises PhD students and co-organises three recurring seminar series in the Paris area: the SuPerGRandMa Weekly Seminar (Orsay), The Probabilities of Tomorrow (IHP), and the Seed Seminar of Mathematics and Physics (IHP/IHES).
