Graduated in Biomedical Informatics from the University of São Paulo (2022). Master of Science from the Postgraduate Program in Clinical Oncology, Stem Cells and Cell Therapy (2025). Has experience in Bioinformatics, with emphasis on pipeline construction, Illumina sequencing data and Viral Metagenomics. In his final course work he worked with a comparison of Bioinformatics Taxonomic Classifiers. In his master's degree, he worked with supervised machine learning to identify viruses in dark matter from Second Generation Sequencing (Illumina). (Source: Lattes Curriculum)
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Metagenomic methods are one of the most powerful tools for identifying emerging or little-known viruses. With the advent of new generation sequencing technologies (NGS) and taxonomic classifiers, it became possible to identify their content, associating the sequences found with their proper taxa. However, there are still sequences that are not associated with their proper taxa, which are …
The metagenomic approaches are one of the most sensitive tools to identify emerging viruses. With the emergence of the New Generation Sequencing (NGS) technologies, the software diversity used for data analysis has grown significantly. The bioinformatic analysis of the obtained NGS sequencing data represents still a significant challenge for the correct interpretation of the data due to t…
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CV Lattes
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