I am currently enrolled as a Master of Science student in the Social Computing Laboratory (LoCuS) at the Federal University of Minas Gerais (UFMG), where I am fortunate to be under the guidance of Prof. Doc. Fabrício Benevenuto.
My current research interests are in Computational Social Science, Data Science, Machine Learning and AI for Social Good.
If you want, you can reach me by email.
I collaborated with the Machine Learning for Education (ML4ED) laboratory on a project that centered around enhancing the explainability of clustering. In this project, we leveraged student data to cluster their behaviors effectively. Our approach involved employing a discriminator neural network with a rigorous sparsity criterion to dynamically select a subset of crucial features for each student. Subsequently, we conducted experiments using clustering techniques on this reduced feature set and evaluated the interpretability of the resulting clusters.
I conducted research in the field of Reinforcement Learning, specifically focused on detecting misinformation. This research was carried out in collaboration with the Machine Teaching Group at the Max Planck Institute for Software Systems (MPI-SWS) under the guidance of Adish Singla.
Research in Explainable Machine Learning for Fake News Detection and Polarization on Social Media under professor Fabrício Benevenuto.
I have been involved in the development of optical character recognition (OCR) software using computer vision techniques.
I have gained experience in the field of Data Science and Machine Learning under the guidance of Professor Gisele Lobo Pappa. During this time, I have had the opportunity to work on projects in collaboration with the Brazil Ministry of Health and the Public Ministry of Minas Gerais.