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International Master on Advanced methods in Particle Physics

Prof. Luca Clissa

Research activity description and interest :

– particle flow using Deep Learning methods for point clouds
– supporting clinical decisions for liver transplant through AI
– transition from human-based to AI-assisted detection and counting of neuronal cells in fluorescent microscopy images;
– supporting the management of large computing infrastructures with NLP tools for topic modelling;
– formulation of classical models into their quantum counterparts.

Also interested in Self-Supervised Learning and Reinforcement Learning.