Andrea Protani

Andrea Protani is a PhD student at CERN, specializing in the development of multimodal Graph Neural Networks to model neurological conditions, aiming to improve diagnosis and enhance clinical decision-making while ensuring patient data privacy. Prior experience includes serving as a Research Scientist Intern at CERN, where work focused on using Graph Neural Networks for predicting stroke severity, and as an External AI Consultant at Sorridi, developing Deep Learning models for automating aligner setups. Andrea has also participated in AWS Training Camp, gaining insights into cloud services. Academic qualifications include a Bachelor's degree in Statistics, two Master's degrees in Data Science from Sapienza Università di Roma and Universitat Politècnica de Catalunya, and ongoing PhD studies at EPFL.