Marco Letizia
I am a postdoctoral researcher at the Machine Learning Genoa Center, in the Statistical and Computational Learning Lab led by Lorenzo Rosasco. I am currently a visiting researcher at CERN, working on the compression of large models using singular value decomposition (SVD)-based techniques.
The bulk of my research activity is dedicated to the development of efficient machine learning algorithms for high energy physics. In particular, I have been working on hypothesis testing for signal-agnostic new physics searches and generative models for fast simulations.
I received my PhD in Astroparticle Physics from SISSA (International School for Advanced Studies), under the supervision of Stefano Liberati. During the first part of my career I studied quantum fields in discrete Lorentzian geometries motivated by Causal Set Theory. I also worked on models of modified gravity inspired by different quantum gravity scenarios.
Contact
Click to reveal email
For my high-energy physics publications and preprints, see my INSPIRE profile.
For my complete publication list, see my Google Scholar profile.
The code for my work on fast machine learning-based testing can be found here (currently under revision).