UFMG, Brazil
Vinicius Toledo holds a degree in Mechanical Engineering from Federal University of Minas Gerais. His research applies numerical linear algebra and machine learning to high-dimensional biological data, with a current focus on supervised feature selection in cardiac transcriptomics. His work investigates how regularized algebraic formulations can recover biologically interpretable gene signatures from microarray and RNA-seq datasets.
Poster Presentation (Virtual)
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