He holds a Bachelor’s degree in Mechanical Engineering (2022) and a Master’s degree in Computational Modeling (2024) from the Federal University of Juiz de Fora (UFJF). He is currently a PhD candidate in Computational Modeling at the Graduate Program in Computational Modeling (PPGMC/UFJF) and a researcher at the Applied Mathematics Laboratory (LAMAP/UFJF).

His main research interests include mathematical and computational modeling of fluid flow in porous media, uncertainty quantification, sensitivity analysis, and numerical methods. During his undergraduate studies, he participated in research projects focused on the development of electromechanical activity models of the human heart, employing computational simulations and machine learning techniques for targeted analyses. In this period, he also gained professional experience in data science, software engineering, and high-performance computing in the industrial sector.

During his master’s and doctoral studies, his research has focused on multiphase foam flow in porous media, with an emphasis on numerical simulations for uncertainty propagation studies and the application of machine learning tools aimed at optimizing modern enhanced oil recovery processes and carbon storage.