- 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.
- 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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Contact us
Phone: +351 253 604 967
Fax: +351 253 604 809
Email: icvs.sec@med.uminho.pt
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
Copyright ©2025 ICVS. All Rights Reserved. Developed by TCIT
Copyright ©2025 ICVS. All Rights Reserved. Developed by TCIT
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
Copyright ©2025 ICVS. All Rights Reserved
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
