Sofia Vallecorsa

Sofia Vallecorsa is a researcher at CERN since 2015, specializing in the development and optimization of generative techniques-based Deep Learning tools for modeling detector responses. Prior to this role, Sofia was a Scientific Associate with the GEANTV software team, contributing to detector simulation software and prototype detector construction for a university in South Korea. Between 2013 and 2015, Sofia held a "Marie Heim-Vogtlin" Fellowship at the SNSF Swiss National Science Foundation, focusing on Dark Matter research at the IceCube neutrino observatory and the ATLAS experiment group in Geneva. Previously, during a postdoctoral position at Technion, development of a muon reconstruction software framework for the ATLAS detector was undertaken, along with the design of an algorithm for identifying slow-moving particles. Earlier experience includes work during studies at the University of Geneva and INFN, where particle identification algorithms were developed. Sofia holds a PhD in High Energy Physics from the University of Geneva and a Master's degree in the same field from Sapienza Università di Roma.