Felipe Campelo is an Associate Professor of Data Science with 11 years of experience bridging methodological research in optimization, data mining and machine learning with real-world bioinformatics and health informatics applications. He leads multidisciplinary efforts to build phylogeny-aware, organism-specific pipelines for epitope prediction and optimization aimed at diagnostics, surveillance and vaccine design. Trained in electrical engineering and systems science (PhD Hokkaido University), he has held academic leadership roles in Brazil and the UK and is a Senior Fellow of AdvanceHE as well as a senior member of IEEE and ACM. Felipe combines rigorous theoretical work with applied pipeline development, and his background in optimization distinguishes his approach to biological prediction problems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Systems Science and Informatics, Doctor of Philosophy (Ph.D.), Systems Science and Informatics at 北海道大学 / Hokkaido University
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Universidade Federal de Minas Gerais
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