Simone Meloni is a Senior Data Scientist with 11 years of experience bridging particle physics and applied data science, currently modeling risk at Prima in Milan. Trained with top honours in elementary particle physics, he spent his PhD analysing precision LHCb data at CERN and serves as liaison for the experiment’s Statistics Working Group. He brings a strong computational mindset—contributing backend fixes to the widely used CMS Offline Software (cmssw)—and a track record of applying deep learning and reinforcement learning to event reconstruction. Meticulous and persistent by nature, he thrives on problems that push his technical skills and reward learning. His background combines rigorous statistical thinking, production-ready software development, and hands-on experience with high-stakes experimental data.
11 years of coding experience
1 year of employment as a software developer
Laurea Magistrale LM, Elementary Particle Physics, 110/110 Cum Laude, Laurea Magistrale LM, Elementary Particle Physics, 110/110 Cum Laude at Università degli Studi di Milano-Bicocca
Diploma Scientifico, Liceo Sicentifico, Piano Nazionale Informatica (PNI), 100/100, Diploma Scientifico, Liceo Sicentifico, Piano Nazionale Informatica (PNI), 100/100 at Liceo Scientifico
Contributions:28 reviews, 77 commits, 32 PRs in 6 years 7 months
Contributions summary:Simone primarily contributed to the CMS Offline Software project by modifying code related to beam spot producers. Their work focused on refactoring and cleaning up existing code, specifically within the OnlineBeamSpotESProducer and associated files. These changes involved adjusting the logic for beam spot selection, including updates to the dependencies. Additionally, the user modified test scripts to accommodate changes.
Contributions:16 pushes, 10 branches in 6 years 7 months
cmsweb-appcockpitoffline
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