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Dr. Sofia Vallecorsa is a senior physicist with extensive experience on software development in the High Energy Physics domain, in particular on Machine Learning and Deep Learning applications at the CERN openlab project ( which is a unique public-private partnership between CERN and leading ICT companies. Before joining openlab, Dr. Vallecorsa has been CERN Scientific Associate responsible for the development of Deep Learning based technologies for the simulation of particle transport through High Energy Physics detectors and has been optimising the scalability of the GeantV detector simulation prototype on modern hardware architectures.
From 2013 to 2015, Dr. Vallecorsa was a researcher at the University of Geneva, where her research work was focusing on Dark Matter statistical searches both for the ATLAS experiment ( and the IceCube experiment ( in the South Pole.
Dr Vallecorsa was until 2013, a Research Fellow of the Israel Institute of Technology (Technion), being the main responsible for the development of a software framework (MuGirl) designed for treatment and interpretation of collider physics raw data, specifically for the ATLAS Muon Spectrometer reconstruction of particle trajectories.
Chair of Sessions
Quantum Computing
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