Chiara De Sio is a Research Associate at the University of Bristol, working on Muon Tomography for nuclear waste characterisation in CHANCE. She’s mainly focussing on detector operations, as well as tracking algorithm development, and muon event visualisation. In the past, she’s worked on track reconstruction using Machine Learning for a neutrino underwater telescope (KM3NeT), and in Muon Tomography for volcano investigation.