Nuno Miguel Caetano Alves (641B-8D4E-35DA)

Curriculum Vitae

Nuno Miguel Caetano Alves

NUNO MIGUEL CAETANO ALVES. Completed the master's degree in Bioinformatics in 2020/11 by Universidade do Minho and the bachelor's degree in Applied Biology in 2017/07/11 by Universidade do Minho. Is Contracted Researcher in Universidade do Minho. Organized 2 event(s). Participated in 3 event(s). Participates and/or participated as Master Student Fellow in 1 project(s) and Research Fellow in 1 project(s). Works in the area(s) of Exact Sciences with emphasis on Computer and Information Sciences with emphasis on Bioinformatics and Natural sciences with emphasis on Biological Sciences with emphasis on Biology.

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Identification

Personal identification

Full name: Nuno Miguel Caetano Alves
Date of birth: 1996/01/21
Gender: Male

Citation names

Alves, Nuno

Author identifiers

Ciência ID: 641B-8D4E-35DA
ORCID iD: 0000-0002-6018-5604

Email addresses

pg36999@alunos.uminho.pt (Professional)

Websites

https://www.linkedin.com/in/nuno-alves-388021188 (Social media)

Knowledge fields

Exact Sciences - Computer and Information Sciences - Bioinformatics
Natural sciences - Biological Sciences - Biology

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Portuguese (Mother tongue)
English	Advanced (C1)	Advanced (C1)	Advanced (C1)	Advanced (C1)	Advanced (C1)

Education

	Degree	Classification
2018 - 2020/11 Concluded	Bioinformática (Mestrado) Universidade do Minho, Portugal "Development of a Tool based on Deep Learning able to classify Biomedical Literature" (THESIS/DISSERTATION)	18
2014/09 - 2017/07/11 Concluded	Biologia Aplicada (Licenciatura) Universidade do Minho, Portugal	13

Affiliation

Science

	Category Host institution	Employer
2020/12/01 - Current	Contracted Researcher (Research)	Universidade do Minho, Portugal
	Universidade do Minho, Portugal
2020/05/01 - 2020/10/31	Contracted Researcher (Research)	Universidade do Minho, Portugal
	Universidade do Minho, Portugal

Projects

Grant

	Designation	Funders
2020/12/01 - Current	DeepBio - Deep and machine learning for industrial biotechnology NORTE-01-0247-FEDER-039831 Master Student Fellow SilicoLife, Lda, Portugal Universidade do Minho, Portugal	Agência Nacional de Inovação SA Ongoing
2020/05/01 - 2020/10/31	DeepBio - Deep and machine learning for industrial biotechnology NORTE-01-0247-FEDER-039831 Research Fellow SilicoLife, Lda, Portugal Universidade do Minho, Portugal	Agência Nacional de Inovação SA Ongoing

Outputs

Publications

Conference abstract	Alves, Nuno; Rodrigues, Rúben André Costa; Rocha, Miguel. "BioTMPy: a Deep Learning-based tool to classify biomedical literature". Paper presented in X Bioinformatics Open Days, Braga, 2021. Published
Conference paper	Alves, Nuno; Rodrigues, Rúben André Costa; Rocha, Miguel. "BioTMPy: a Deep Learning-based tool to classify biomedical literature". Paper presented in 15th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB'21), Salamanca, 2021. Accepted

Activities

Event organisation

	Event name Type of event (Role)	Institution / Organization
2019/10 - 2020/02/21	IX Bioinformatics Open Days (2020/02/19 - 2020/02/21) Conference (Member of the Organising Committee)	Universidade do Minho, Portugal
2016/10 - 2017/02/10	XVIII Jornadas Biologia Aplicada (2017/02/08 - 2017/02/10) Conference (Member of the Organising Committee)	Universidade do Minho, Portugal

Event participation

	Activity description Type of event	Event name Institution / Organization
2021/05/05 - 2021/05/08	X Bioinformatics Open Days Conference
2019 - 2019	VIII Bioinformatics Open Days Conference	Universidade do Minho, Portugal
2015 - 2015	Encontro Nacional de Estudantes de Biologia (ENEB)

Association member

	Society Organization name	Role
2019 - Current	Núcleo de Estudos de Bioinformática da Universidade do Minho (NEBIUM)	Membro do Conselho Fiscal
2015 - 2017	Núcleo de Estudantes de Biologia Aplicada da Universidade do Minho (NEBAUM)	Membro do departamento de Finanças

Mentoring / Tutoring

	Topic	Student name
2021/03 - Current	Identifying sweeteners using text mining	Tiago Rafael Ferreira Miranda da Silva
2021/03 - Current	Classification of articles related to antibiotic adjuvants through text mining	Carla Rafaela Mendes da Silva
2021/03 - 2021/06/29	Application of text mining tools in the study of the secondary metabolism in plants	José Pedro Silva Freitas