Matteo Marchegiani
Postdoctoral Researcher at Carnegie Mellon University
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolMatteo Marchegiani is a particle physicist and postdoctoral researcher at Carnegie Mellon University with eight years of experience on the CMS experiment at CERN, combining deep expertise in experimental high-energy physics with advanced machine learning techniques. He completed a PhD at ETH Zürich after dual master’s training at École Polytechnique and ETH, and his master's thesis applied deep neural networks to determine weak boson polarization in ZZ scattering—evidence of his skill at bringing modern ML to challenging analysis problems. Based in Geneva, he has a track record of turning complex detector data into precise measurements and searches, blending rigorous statistical methods with practical software development. Matteo’s background pairs top academic honors (110/110 cum laude) with hands-on contributions to collider physics workflows, making him adept at bridging research, computation, and collaborative experiments.
8 years of coding experience
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Eidgenössische Technische Hochschule ZürichJoint Master's degree, High Energy Physics, Joint Master's degree, High Energy Physics at École PolytechniqueBachelor's degree, Physics, 110/110 cum laude, Bachelor's degree, Physics, 110/110 cum laude at Università degli Studi di Milano-Bicocca
English, French, Italian, German
Github Skills (37)
cms10
php10
backbonejs10
cockpit10
slim10
edtech10
alien9
histogram9
collider8
lpc7
boost6
python6
crossword6
science5
data-management5
Programming languages (3)
Github contributions (5)
PocketCoffea/PocketCoffea
Feb 2022 - Jan 2023
Slim configuration framework for Coffea based analysis on CMS NanoAOD events
Contributions:41 reviews, 397 commits, 78 PRs in 11 months
cmseventsphpnanoaodanalysis-framework
mmarchegiani/ttHbb
Oct 2020 - Feb 2022
Framework for accelerated ttH(bb) columnar analysis with Coffea (https://coffeateam.github.io/coffea/) on flat centrally produced nanoAOD samples.
Contributions:2 PRs, 70 pushes, 2 branches in 1 year 3 months
crosswordacceleratednanoaodcolumnarhal
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