Tommaso Diotalevi
Tenure Track Researcher (RTT) at Alma Mater Studiorum - Università di Bologna
Bologna, Emilia-Romagna, Italy
Summary
👤
Senior🎓
Top SchoolTommaso Diotalevi is a tenure-track researcher at the University of Bologna with nine years of experience at the intersection of particle physics and modern computing, specializing in AI-driven analysis within the CMS experiment at CERN. He holds a PhD in Nuclear and Subnuclear Physics and has applied his skills across research and infrastructure roles—from developing storage-management APIs at INFN CNAF to contributing Powheg card generation scripts for Monte Carlo production in the widely used cms-sw/genproductions repository. Proficient in C++, Python, R, Docker, Kubernetes and Elasticsearch, he combines hands-on software engineering with experimental expertise to enable large-scale simulations and data workflows. Based in Bologna, he works within the ICSC center for HPC, Big Data and Quantum Computing and is driven by a curiosity for both theory and practical systems, often bridging domain physics needs with production-grade tooling.
9 years of coding experience
3 years of employment as a software developer
Dottorato di ricerca Fisica, Dottorato di ricerca Fisica at Alma Mater Studiorum – Università di Bologna
Github Skills (8)
simulations10
simulation10
pow10
high-energy-physics10
monte-carlo10
python10
makefile9
data-analysis8
Programming languages (8)
Github contributions (5)
cms-sw/genproductions
May 2021 - Jul 2021
Generator fragments for MC production
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 23 commits, 2 PRs in 1 month
Contributions summary:Tommaso contributed to the development of generator fragments for Monte Carlo (MC) production within the cms-sw/genproductions repository. Their work focused on adding Powheg cards, which are configuration files used to generate simulated events for specific physics processes, particularly related to MSSM Higgs boson production and decay. The changes involved modifying and creating Python scripts to generate these cards, including parameter configurations for different Higgs masses and tanβ values. This work is essential for enabling physics simulations and analyses within the context of the CMS experiment.
productionfragments
tommasodiotalevi/MccM_Utilities
May 2021 - Mar 2025
Collection of scripts for H-Exo MC requests creation
Contributions:150 pushes in 3 years 10 months
exopythoncreation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.