Summary
Reinaldo D is a computer scientist and master's student at ICMC/USP specializing in bioinspired computing and intelligent methods applied to neuroscience. He develops immune-inspired machine learning models to detect epileptic seizures from EEG signals, blending concepts from computational immunology and pattern recognition for clinically relevant diagnostics. His prior work includes SSAIS, a subsampling method based on artificial immune systems for predicting mortality in Chagas disease, which has been published. He also collaborates on Bayesian and spatial partitioning approaches for soil mapping in Agriculture 4.0 at IFNMG, improving kriging stationarity and map utility. With eight years of diverse experience that spans research, academic software development and administrative technology roles, he combines strong theoretical grounding with practical, interdisciplinary impact.
8 years of coding experience
Bacharelado em Ciência da Computação, Computer Science, Bacharelado em Ciência da Computação, Computer Science at Instituto Federal de Educação, Ciência e Tecnologia do Norte de Minas
Ensino Médio, Ensino Médio at ESCOLA ESTADUAL GERALDO DE SOUZA NORTE
University of São Paulo