- Principal Researcher, CONICET
- Assistant Professor, Department of Informatics, FICH-UNL
- Leader of the Bioinformatics Research Group: computer science and machine learning people who essentially make algorithms for the integration, fusion and analysis of biological data. We develop novel data mining algorithms and computing tools, as well as intelligent algorithms, for biological data fusion and integration, and for new knowledge discovery.
Research lines in bioinformatics:
- Gene function prediction – inference of GO annotations to genes
- Gene regulatory network reconstruction
- Metabolic engineering
- Pre-miRNA prediction algorithms from genome-wide data
- Data fusion and integration of biological sources
Research Interests
- Bioinformatics
- Machine learning
Teaching
Courses in Engineering Informatics:
- Computational intelligence
- Artificial intelligence
- Data Mining for Bioinformatics
Advisor of
- Jonathan Raad
- Emilio Fenoy
Coadvisor of
Latest Publicactions
gGN: Representing the Gene Ontology as low-rank Gaussian distributions
- A. Edera
- G. Stegmayer
- D. H. Milone
Computers in Biology and Medicine - 2024
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure
- L. A. Bugnon
- L. Di Persia
- M. Gerard
- J. Raad
- S. Prochetto
- E. Fenoy
- U. Chorostecki
- F. Ariel
- G. Stegmayer
- D. H. Milone
Briefings in Bioinformatics - 2024
Evaluating large language models for annotating proteins
- R. Vitale
- L. A. Bugnon
- E. Fenoy
- D. H. Milone
- G. Stegmayer
Briefings in Bioinformatics - 2024
Transfer learning: The key to functionally annotate the protein universe
- L. A. Bugnon
- E. Fenoy
- A. Edera
- J. Raad
- G. Stegmayer
- D. H. Milone
Patterns - 2023
Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks
- E. Fenoy
- A. Edera
- G. Stegmayer
Briefings in Bioinformatics - 2022
More Publications
Personal Contact
- Phone: +54 (342) 4575233/34, ext. 193
- Office number: 3
- E-mail: gstegmayer@sinc.unl.edu.ar