Fabio Catalano

researcher CERN, member ALICE Collaboration

Fabio Catalano è attualmente Research Fellow al CERN e ha conseguito un dottorato in Fisica presso il Politecnico di Torino. È membro attivo dell’esperimento ALICE, uno dei principali esperimenti del CERN, dal 2018. L’attività di ricerca di Fabio si concentra sull’applicazione di strumenti di machine learning all’analisi dei dati di fisica delle alte energie, in particolare per la ricostruzione di adroni contenenti quark charm e beauty. È coordinatore dell’ALICE Machine Learning Group e rappresenta la Collaborazione ALICE nella coordinazione dell’Inter-experimental Machine Learning Working Group al CERN

Fabio Catalano is currently a Research Fellow at CERN and holds a Ph.D. in Physics from Politecnico di Torino. He has been an active member of the ALICE experiment, one of CERN’s major experiments, since 2018. Fabio's research specializes in applying machine-learning tools to high-energy physics data analysis, particularly for measuring hadrons containing charm and beauty quarks. He serves as the coordinator of the ALICE Machine Learning Group and represents the ALICE Collaboration in the coordination of the Inter-experimental Machine Learning Working Group at CERN.

Sunday 29 september / time 10-11.15
Museo Revoltella

AI IN FUNDAMENTAL PHYSICS AND MEDICAL PHYSICS

A panel with

Lucio Anderlini, researcher INFN Firenze, member LHCb Collaboration

Fabio Catalano, researcher CERN, member ALICE Collaboration

Alessandra Retico, researcher INFN Pisa

Chaired by

Grazia Luparello, researcher INFN Trieste, member ALICE Collaboration

The event will take place in italian