Summary
Leonardo Plini is a Machine Learning researcher and PhD candidate in Artificial Intelligence based in Geneva, with five years of experience applying ML to particle physics and experimental data analysis. He currently holds roles at INFN—designing algorithms to detect rare particle decays in NA62—and as a Project Associate at CERN, bridging research-grade models with large-scale physics experiments. Trained in data science and mathematical engineering from Sapienza and Politecnico di Milano, he also has teaching experience mentoring students and coordinating industry-academic training with AWS and Amazon. Notably, his work combines rigorous theoretical ML research with hands-on deployment in high-energy physics settings, reflecting a rare cross-disciplinary focus that speeds discovery in experimental collaborations.
5 years of coding experience
100/100, 100/100 at Liceo Classico Ugo Foscolo
Laurea triennale, Ingegneria matematica, Laurea triennale, Ingegneria matematica at Politecnico di Milano
Doctor of Philosophy - PhD, National PhD in Artificial Intelligence, Doctor of Philosophy - PhD, National PhD in Artificial Intelligence at Sapienza Università di Roma