Research
General description
My research interests lie in the theory of stochastic analysis and optimal mass transportation, and their applications in various fields.
Preprints are made available on ArXiv
Other public records: - ORCiD - Google Scholar - CVGMT
Current projects
I am currently involved in the following research and scientific dissemination projects:
PRIN 2022 Italian grant 2022WHZ5XH - ``understanding the LEarning process of QUantum Neural networks (LeQun)’’, CUP J53D23003890006
HPC Italian National Centre for HPC, Big Data and Quantum Computing - Proposal code CN1 CN00000013, CUP I53C22000690001
MUR Excellence Department Project awarded to the Department of Mathematics, University of Pisa, CUP I57G22000700001
G24-202 ``Variational methods for geometric and optimal matching problems’’ funded by Università Italo Francese
PNRR - M4C2 - Investimento 1.3, Partenariato Esteso PE00000013 - “FAIR - Future Artificial Intelligence Research” - Spoke 1 “Human-centered AI”, funded by the European Commission under the NextGeneration EU programme
FMJH Program Gaspard Monge for optimization and operations research and their interactions with data science
Completed projects
INdAM-GNAMPA project 2024 “Tecniche analitiche e probabilistiche in informazione quantistica
INdAM-GNAMPA project 2023 “Teoremi Limite per Dinamiche di Discesa Gradiente Stocastica: Convergenza e Generalizzazione”
IPAM: Non-commutative Optimal Transport (Spring 2025)
