Summary
Giulia De Bonis is a multidisciplinary researcher with nine years of experience at INFN, specializing in neuroscience-inspired cortical simulations and astroparticle/neutrino physics for underwater detectors. She blends data analysis, machine learning and high-performance computing to develop trigger, reconstruction and Monte Carlo simulation algorithms for neutrino telescopes and to analyze electrophysiological data within the Human Brain Project. Her work uniquely spans bio-inspired AI and experimental particle detection, applying acoustic detection and GPU-accelerated pipelines to real-world instrumentation challenges. Based in Rome, she pairs a PhD in Physics and top academic honors with hands-on experience across European collaborations, bringing both theoretical rigor and practical software engineering to complex scientific problems. An unexpected thread in her profile is formal training in teaching mathematics and physics, which informs her clear, methodical approach to research and collaboration.
9 years of coding experience
2 years of employment as a software developer
100/100, Literature, Latin, Ancient Greek, History, Philosophy, 100/100, Literature, Latin, Ancient Greek, History, Philosophy at Liceo Classico Orazio
Doctor of Philosophy (PhD), Physics, PhD, Doctor of Philosophy (PhD), Physics, PhD at Università degli Studi di Roma 'La Sapienza'
TFA (Tirocinio Formativo Attivo), Teaching Mathematics and Physics in High Schools, TFA (Tirocinio Formativo Attivo), Teaching Mathematics and Physics in High Schools at Sapienza Università di Roma
English, Italian