Fabio Mazza

PhD Student in Fisica , 35^th cycle (2019-2022)
Department of Applied Science and Technology (DISAT)

fabio.mazza@polito.it

Profile

PhD

Thesis title

Statistical physics and epidemic inference: methods and applications

Research topic

Inference on dynamic processes on large-scale complex networks

Tutors

Luca Dall'Asta

Research interests

Fisica dei Sistemi Complessi / Physics of Complex Systems

Meccanica Statistica / Statistical Mechanics

Biography

Fabio Mazza received his M.Sc. in Physics of Complex Systems from Politecnico di Torino and a M2 degree in Physics from Université Paris VII – Denis Diderot (now called Université de Paris) in the context of a double degree program in 2019. He graduated with an intership on "Multiscale modeling of influenza viral emergence" in the EPIcx Lab in Paris, under the supervision of Chiara Poletto. He was admitted to the PhD Program in Physics at Politecnico di Torino, under the supervision of prof. Luca Dall'Asta, and he has since been working on inference techniques based on statistical physics, which can be applied to the context of epidemic inference.
His main research interests include statistical physics, complex networks, deep learning and reinforcement learning methods.

Publications

Latest publications View all publications in Porto@Iris

Biazzo, Indaco; Braunstein, Alfredo; Dall'Asta, Luca; Mazza, Fabio (2022)
A Bayesian generative neural network framework for epidemic inference problems. In: SCIENTIFIC REPORTS, vol. 12. ISSN 2045-2322
Contributo su Rivista
Baker, A.; Biazzo, I.; Braunstein, A.; Catania, G.; Dall'Asta, L.; Ingrosso, A.; ... (2021)
Epidemic mitigation by statistical inference from contact tracing data. In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 118. ISSN 0027-8424
Contributo su Rivista