Nuno Alves

  • Bioinformatics
  • Deep learning
  • Machine learning
  • Biomedical literature classification
  • Applied biology
  • Computational biology

Nuno Miguel Caetano Alves earned his BSc in Applied Biology (2017) and MSc in Bioinformatics (2020) from the University of Minho. His master’s thesis, “Development of a Tool Based on Deep Learning Able to Classify Biomedical Literature,” showcased advanced computational approaches to complex biological data.

Now a PhD student at the University of Minho, Nuno applies artificial-intelligence methods to accelerate novel-antibiotic development, using Mycobacterium tuberculosis as a case study. He actively participates in academic events, organises scientific conferences, and mentors student projects, promoting research at the interface of computational biology and bioinformatics.

Nuno Alves

  • Bioinformatics
  • Deep learning
  • Machine learning
  • Biomedical literature classification
  • Applied biology
  • Computational biology

Nuno Miguel Caetano Alves earned his BSc in Applied Biology (2017) and MSc in Bioinformatics (2020) from the University of Minho. His master’s thesis, “Development of a Tool Based on Deep Learning Able to Classify Biomedical Literature,” showcased advanced computational approaches to complex biological data.

Now a PhD student at the University of Minho, Nuno applies artificial-intelligence methods to accelerate novel-antibiotic development, using Mycobacterium tuberculosis as a case study. He actively participates in academic events, organises scientific conferences, and mentors student projects, promoting research at the interface of computational biology and bioinformatics.

Scientific Highlights

  • Created BioTMPy, a deep-learning tool for biomedical-literature classification; presented at PACBB 2021 (Salamanca).
  • Contributed to peer-reviewed publications and presented at events such as the X and VIII Bioinformatics Open Days.
  • Organizing committee member for key scientific meetings, strengthening collaboration and dissemination in computational biology.

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