About me

I received my M.Sc. degree in Informatics from the Technical University of Munich (Germany) in 2019 and Bachelors degree in Computer Science in 2014 from the Federal University of Maranhão (Brazil). Due to my research in the field accessibility on handwritten musical content using deep learning, he was awarded with the “Young Researcher Reward” by FAPEMA in 2014. Since then he has conducted numerous researches and deployed models in the fields of deep learning, computer vision, electrical signals, NLP, dimensionality reduction and wireless communication.

Currently, I am currently a Marie Skłodowska-Curie Fellow ESR at CTTC. My main research conducted in the Windmill project is focused on analyze and synthesize machine learning solutions in large dimensional settings. Thus, he is focused on dimensionality reduction methods, unsupervised learning algorithms, smart agents and large optimization scenarios.

Most Relevant Research

Machine Learning For Wireless Communication



Accessibility on Handwritten Musical content using Deep Learning


Automatic Detection of Deviations between Measurements and Reality in Electrical Vehicles