Enrico Sartor

I am Enrico Sartor, a PhD student in Applied Mathematics at the École Doctorale de Mathématique Hadamard (Paris-Saclay University), hosted at the Laboratoire des Signaux et Systèmes (L2S). My research focuses on partially observable stochastic control. More broadly, I am interested in optimal control for PDEs and SDEs, and in its connections with optimal transport and Wasserstein geometry (e.g., mean-field optimal control). I am also interested in the mathematical foundations of machine learning, especially neural networks and reinforcement learning.

Before starting my PhD, from November 2024 to August 2025, I worked as a research assistant under the supervision of Prof. Enrique Zuazua at the Chair for Dynamics, Control, Machine Learning and Numerics at Friedrich-Alexander-Universität Erlangen–Nürnberg, on optimal control of coagulation–fragmentation equations.

I obtained my Master’s degree in Mathematics from the University of Udine in October 2024 (110/110 cum laude). During my Master’s, I spent six months as a visiting student at ETH Zürich in the research group of Prof. Florian Dörfler, working on my thesis “A Pontryagin minimum principle for sparse optimal control in the Wasserstein space”. I received my Bachelor’s degree in 2022 from the University of Udine, with a thesis on the improbability of collisions in the $N$-body problem.

In March 2025, I also completed the diploma of the Scuola Superiore Universitaria di Toppo Wassermann, a merit-based honors program offering advanced coursework and research training alongside university studies.