Alberto Plebani is an accomplished researcher and educator in the field of physics, with experience in both data analysis and machine learning applications. Alberto contributed to top quark physics during a Bachelor Thesis at the ATLAS Collaboration and is currently pursuing a PhD focused on diboson production at the ATLAS experiment while also serving as a Teaching Assistant at the University of Cambridge. Prior internships at Fermilab and Monumo allowed Alberto to apply machine learning techniques to classify quench antenna signals and work on AI-driven electrical motor development, respectively. Alberto holds a Master's degree in Elementary Particle Physics and a Bachelor's degree in Physics from Università degli Studi di Milano, along with ongoing education in Data Science for Physics at the University of Cambridge.
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