Supervision

Ongoing

• 2025, Generative models for joint sequence and structure representation learning, G. Kulemeyer, PhD thesis UNL
• 2025, End-to-end models based on representation learning for sequential data with applications in bioinformatics, B. Breggia, UNL
• 2024, New models based on transfer learning for functional classification in bioinformatics, S. Duarte, PhD thesis UNL
• 2023, Representation learning for secuential data applied to structure prediction in bioinformatics, L. Zablocki, PhD thesis UNL
• 2023, Computational biomechanical modeling and learning techniques Machine to estimate Gait Dynamics in the absence of force Platforms, J. Beret, Ph.D. thesis UNL
• 2023, Use of a machine learning model for the prediction of interactions between bioactive Bacillus metabolites and their possible target proteins in the wheat pathogens Xanthomonas translucens and Pseudomonas syringae, V. Fumero, Master’s degree in data science, U. Austral

Completed

• 2024, Development of a framework based on machine learning for research on relationships between non-coding RNA and diseases, M. Ramonell, Bioengineering, U. Nacional de Entre Ríos
• 2023, Automation system for data extraction from digitized invoices, A. Gorostidi, E. Claucich, Informatics Eng.
• 2023, Classification of telegram digits from the legislative elections in Santa Fe using domain adaptation techniques, F. Lianza, Master’s degree in data science, U. Austral
• 2022, Development of a tool for automatic identification of foraging rhythm of leaf-cutting ants from video records, 2022, F. Sturniolo, Informatics Eng., U. Nacional del Litoral