Georgina Stegmayer

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

Coadvisor of

Leandro Bugnon

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