Marcio de Sousa Mateus Junior

Graduated with a Bachelor's degree in Physics from the Federal University of Uberlândia (2017). Worked as a teacher of Mathematics and Physics in the public basic education system. Holds a Master's degree in Physics from the Federal University of Rio Grande do Sul (2020) and a Doctorate from the same institution, both with a CNPq scholarship. Has experience in the fields of Particle Physics and Cosmology with an interest in theoretical modeling and experimental search for dark matter. Worked in the private sector as a data scientist, focusing on applications of artificial intelligence and machine learning models in strategic sectors of the national industry. In addition, he is a Machine Learning Researcher at the São Paulo Research and Analysis Center (SPRACE), where he develops simulations, reconstructions and new analysis methods for data obtained from the Large Hadron Collider (LHC), by the Compact Muon Solenoid (CMS) experiment, using deep learning methods in new physics analysis. (Source: Lattes Curriculum)