Filipe Barbosa de Vasconcelos is currently pursuing a Master’s degree in Bioinformatics at the University of Minho, where his research lies at the intersection of bioinformatics, virology, and artificial intelligence. His academic trajectory has been shaped by a strong interest in applying computational methods to complex biomedical problems, particularly in the fields of microbial genomics, antimicrobial resistance, and drug discovery and repurposing. Throughout his training, he has developed solid expertise in biological data analysis, the design of bioinformatics pipelines, and the application of in silico methodologies to health-related research.

His current work reflects a clear commitment to the use of data-driven approaches to address biomedical challenges with translational impact. He is currently developing the PyHIV-Tropism dissertation project, which aims to extend the PyHIV framework through the integration of AI models to predict HIV-1 tropism from routinely sequenced genomic regions, with potential applications in clinical decision-making and in research on viral reservoirs.