Thiago Rafael Fernandez Perez Tomei is a Research Associate at the Center for Scientific Computing of Universidade Estadual Paulista (UNESP). He holds a Bs.C. in Physics from University of São Paulo (USP), and a Ph.D. in Physics from UNESP. His main field of work is High Energy Physics, having been a member of the Compact Muon Solenoid (CMS) experimental collaboration of the CERN LHC since 2006. His current interests include the search for Dark Matter in the LHC data, and the preparation of the CMS experiment for the high-luminosity upgrade of the LHC, where the application of machine learning techniques will be fundamental to deal with the unprecedented level of data that has to be simulated, acquired and analysed. He is studying generative models (Variational AutoEncoders and Generative Adversarial Networks) for event simulation and classification models (Recurrent Neural Networks, particularly Long Short-Term Memory RNNs) for data acquisition and analysis.