Piero Viscone
Doctoral Student at CERN
Meyrin, Geneva, Switzerland
Summary
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Senior🎓
Top SchoolPiero Viscone is a CERN doctoral student at UZH with eight years of experience developing algorithms and machine learning models for real-time FPGA deployment on the CMS Phase-2 L1 trigger. He specializes in triggering and reconstructing electromagnetic objects, integrating ML models into low-latency FPGA workflows while also leading a low-mass di-electron resonance search with Run-3 and Phase-2 scouting data. His background combines top academic results (MS and BS with 110/110 cum laude from Università di Pisa) with hands-on trigger and DAQ work at PSI and INFN, giving him a rare mix of hardware-aware ML and experimental analysis skills. Comfortable across firmware, algorithm development, and physics analysis, he bridges the gap between detector constraints and deployable machine-learning solutions. He maintains an active GitHub presence where he shares tools and prototypes that reflect his focus on production-ready models for constrained environments. Based in Meyrin, Geneva, he brings both precision and creativity to fast, resource-constrained inference problems in high-energy physics.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, High Energy Physics, Doctor of Philosophy - PhD, High Energy Physics at University of ZurichMaster of Science - MS, Data analysis for experimental physics, 110/110 cum laude, Master of Science - MS, Data analysis for experimental physics, 110/110 cum laude at Università di Pisa
Github Skills (77)
keyboard-shortcuts9
fpga9
alien9
tuple9
gamepad9
keyboard8
pdf-viewer8
collider8
mouse8
ubuntu8
pen8
pdf8
low-latency8
json8
pandas7
Programming languages (8)
Github contributions (5)
pviscone/NanoHistDump
Mar 2024 - Sep 2024
Contributions:97 pushes, 3 branches in 6 months
pviscone/ArcHEP
Aug 2021 - May 2023
Contributions:3 releases, 72 pushes, 1 branch in 1 year 9 months
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