Biography

I have been a graduate student at École Normale Supérieure de Lyon (ENS), a PhD student at the University of Milan, and a CERN fellow.

My research is mostly focussed on computational models and methods applied to science. I had the opportunity to perform scientific research in theoretical and experimental physics at different institutions. I had experience in quantum optics at the Institut Lumière Matière in Lyon, cavity quantum electrodynamics at the Laboratoire Kastler-Brossel (ENS) in Paris with the Nobel Price Serge Haroche, data analysis and software development for heavy-ion physics in ALICE at CERN, theoretical physics at CERN and UNIMI, and quantum computing scientific collaborations with CQT, UB, CERN.

Interests
  • Computational Physics
  • Parton Distribution Functions
  • Monte Carlo Simulation
  • Artificial Intelligence
  • Quantum Computing
  • AI & Medical Physics
  • Big data for Economics
Education
  • PhD in Physics, Astrophysics and Applied Physics

    University of Milan (Italy)

  • MSc in Sciences of Matter and Physics

    École Normale Supérieure (France)

  • BSc in Physics

    École Normale Supérieure (France)

Experience

Research

 
 
 
 
 
Associate Professor
University of Milan
Oct 2021 – Present Milan, Italy
 
 
 
 
 
Senior Researcher
University of Milan
Oct 2018 – Sep 2021 Milan, Italy
 
 
 
 
 
Senior Research Fellow
CERN, Theoretical Physics Department
Oct 2015 – Sep 2018 Geneva, Switzerland
 
 
 
 
 
Postdoctoral Fellow
University of Milan
Nov 2014 – Sep 2015 Milano, Italy

Teaching

Ongoing lectures

 
 
 
 
 
Deep Learning - Master Degree
University of Milan
Mar 2022 – Present Milan, Italy
 
 
 
 
 
Computer Science - Bachelor Degree
University of Milan
Oct 2018 – Present Milan, Italy
 
 
 
 
 
Tecniche di calcolo e sistemi operativi - SSFM
University of Milan
Oct 2019 – Present Milan, Italy
 
 
 
 
 
Introduction to Machine Learning - PhD in Physics
University of Milan
Oct 2018 – Present Milan, Italy
An introduction to machine learning techniques including model representation, parameter learning, non-linear models, hyperparameter tune, and an overview of modern deep learning strategies. The seminars will cover the theoretical and mathematical aspects of machine learning followed by practical examples of code implementation using public frameworks.

Awards

Sergio Fubini
National price for the best PhD thesis in theoretical particle physics of 2015-2016.

Projects

Quantum

Quantum

Quantum computation

MC tools

MC tools

High energy physics simulation

PDFs

PDFs

Parton distribution functions

Recent Publications