Post-doctoral scientist

2023 - Present

At Laboratoire de Physique Théorique et Modèles Statistiques, Paris.

Topic: Extreme Dynamics in many-particle systems.
Supervisors: S. N. Majumdar, P. Le Doussal, G. Schehr.

Topic: Out-of-equilibrium dynamics of constrained models.
Supervisor: M. Fagotti.

Ph.D. in Applied Mathematics and Theoretical Physics

2019 - 2023

At King's College London, London.

Thesis: Generalised Hydrodynamics and Correlation Functions.
Supervisor: B. Doyon.

B.Sc. + M.Sc.

2014 - 2019

At Università degli Studi di Milano, Milan.

Final Grade: 110/110 cum Laude.
Thesis: Exact Out-of-Equilibrium Dynamics in Classical Integrable Field Theories.
Supervisors: G. Mussardo and S. Caracciolo.

Tutor

2024

At Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris, Paris.
Course: Mathematical Methods.

Graduate Teaching Assistant

2022 - 2023

At London School of Economics, London.
Course: Further Mathematical Methods.

Graduate Teaching Assistant

2019 - 2022

At King's College London, London.
Courses: Stochastic Analysis, Deep Learning, Numerical Methods, Probability and Statistics, Applied Differential Equations, Statistics in Finance.

Machine Learning Intern

2021

At Lotus Project, London.
Development of an unsupervised learning algorithm to identify suitable zones in developing countries for the Rural Development Model.

Computer Skills

Experience in high-performance computing, randomised algorithms, combinatorial optimisation, quantum simulation and machine learning.

Publications

Scholar ArXiv