Ana Santos-Pereira was born in Braga in 1991. She completed her Bachelor’s degree in Applied Biology, her Master’s degree in Molecular Genetics, and her PhD in Ageing and Chronic Diseases at the University of Minho. Her doctoral research focused on the evolution, genetic diversity, and antiretroviral drug resistance of HIV-1 using bioinformatics and computational approaches. She is currently a researcher at ICVS, School of Medicine, University of Minho, where she applies machine learning and deep learning to clinically relevant infectious disease problems. Her recent work includes the prediction of viral phenotypes and drug resistance mutations from routine sequencing data, as well as contributions to malaria therapeutic failure prediction. She has also developed PyHIV, an open-source Python toolkit for HIV-1 sequence analysis. Previously, Ana was a postdoctoral researcher at INSA in Lisbon, where she developed ngest, an automated pipeline for biomedical knowledge graph construction, strengthening her expertise in Python, data integration, and graph-based methods. Her background also includes industry experience as a Data Analyst, which reinforced her skills in database management, ETL processes, reporting, and translating analytical results into actionable insights. Ana’s research combines bioinformatics, data science, and AI for infectious disease genomics, with a strong interest in developing computational tools that can support biomedical research and public health. She has also contributed to teaching and student supervision in bioinformatics-related topics.