I am pursuing a Masters degree in Machine Learning and Data Mining at ICMC - USP, funded by FAPESP. My research involves using Graph Neural Networks and fMRI data. Currently, I'm in a internship at Carnegie Mellon University, supported by the BEPE-FAPESP program. I hold a degree in Mechatronics Engineering from the University of São Paulo, São Carlos Campus, where I received a FAPESP Research Grant for two years. During this period, I studied singularity in deep learning in collaboration with Michigan State University (MSU).Areas of interest: Machine learning applied to brain-related diseases / biometrics / generative AI (Source: Lattes Curriculum)
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Science has been seeking tools to assist in the early diagnosis of diseases, especially developmental disorders in children. The study and diagnosis of psychiatric disorders benefit from tools such as functional magnetic resonance imaging (fMRI), which enables the capture of brain activation through the BOLD contrast. However, these data are complex, and machine learning tools, particular…
Singularity Theory is a branch of mathematics whose tools and techniques have been applied in several branches of science and technology including robotics, autonomous vehicles, computer graphics, image processing, and network structure. In this project we aim to develop a study of the tools and techniques of Singularity Theory and Applied Math which has recently been used to address prob…
Science has been actively seeking tools to aid in the early diagnosis of diseases, including psychiatric disorders. Functional magnetic resonance imaging (fMRI) has emerged as a valuable tool for studying and diagnosing these disorders, allowing for the observation of brain activation through the BOLD signal. However, fMRI data are inherently complex, and leveraging machine learning techn…
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