Fabrizio Grosa is a research staff physicist at CERN with a decade of experience leading and contributing to ALICE analyses at the LHC, specializing in the characterization of the quark–gluon plasma through precision measurements of charmed hadrons. He combines strong C++ and Python backend development—evidenced by contributions to core ALICE repositories (AliceO2, AliPhysics, AliRoot) and implementation of machine-learning workflows—with hands-on detector R&D and assembly for silicon trackers. As a former group coordinator and senior research fellow, he has led multinational teams, supervised students, and presented results at major international conferences. His work bridges large-scale data processing, statistical analysis of massive datasets, and physics-driven software engineering, including adding new decay channels and ML-driven preselections. A PhD with top honors and a track record of peer-reviewed publications, he also brings an uncommon mix of firmware-level detector assembly experience and production-grade backend code contributions to open-source experiment software.
10 years of coding experience
1 year of employment as a software developer
High School degree, Scientific High school, 91/100, High School degree, Scientific High school, 91/100 at Liceo scientifico Gino Segré
Master's degree, Nuclear and Subnuclear Physics, 110/110 cum laude and honour mention, Master's degree, Nuclear and Subnuclear Physics, 110/110 cum laude and honour mention at Università degli Studi di Torino
Doctor of Philosophy - PhD, Physics, cum laude, Doctor of Philosophy - PhD, Physics, cum laude at Politecnico di Torino
Contributions:736 reviews, 102 commits, 677 PRs in 1 year 9 months
Contributions summary:Fabrizio appears to be a backend developer working on the ALICE O2 Analysis repository. Their commits focus on adding and modifying tasks within the PWGHF directory, specifically related to physics analysis and the optimization of preselections. The code changes involve the implementation of event and track selections and the creation of training samples for machine learning models. They also updated histograms and code to include the possibility of running with and without event selections.
Contributions:42 reviews, 651 commits, 458 PRs in 5 years 10 months
Contributions summary:Fabrizio primarily focused on implementing and refining the analysis and reconstruction of D mesons. Their contributions included adding a new decay channel for the Lc meson, improving the quality of candidate selections, and adding support for the application of multi-class machine learning models. They also added histograms to check various physics aspects of the analysis, especially related to TPC-TOF matching and centrality.
physicspythoncernanalysisalice
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