Paolo Calafiura
Senior Scientist at DOE
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolPaolo Calafiura is a senior scientist and software architect based in Berkeley with nearly three decades of experience bridging physics research and scalable scientific computing. He leads major DOE computing efforts for US ATLAS—managing a $17M budget and a 45-person team delivering software and infrastructure to process hundreds of petabytes from the LHC—while directing research projects in neuromorphic, quantum, and ML-driven pattern recognition for HEP. His work uniquely spans low-level architecture (porting Kalman filters to IBM TrueNorth) to large-scale HPC and exascale readiness through the HEP-CCE initiative. A physicist by training (PhD, Scuola Normale Superiore), he combines deep domain knowledge with hands-on systems design and a track record of incubating cross-disciplinary tools that move experimental algorithms into production environments. Colleagues know him for pairing rigorous research with pragmatic software engineering to tackle some of the most data- and compute-intensive problems in experimental physics.
9 years of coding experience
24 years of employment as a software developer
Ph.D, Physics, Ph.D, Physics at Scuola Normale SuperioreLaurea Physics, Physics, Laurea Physics, Physics at Università di Pisa
English, French, Spanish, Italian
Github Skills (6)
particle7
particle-physics7
latex7
physics5
machine-learning5
deep-learning4
Programming languages (3)
Github contributions (5)
HEPTrkX/HEPTrkX.github.io
Nov 2016 - Oct 2019
Contributions:21 commits, 25 pushes in 2 years 10 months
exatrkx/exatrkx-neurips19
Dec 2019 - Apr 2020
Code and instructions to reproduce the results of our NeurIPS 2019 paper
Contributions:10 commits, 1 PR, 6 pushes in 3 months
deep-learninginstructionsneuripsneurips-2019reproduce
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