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, PhD thesis UNL
• 2024, New models based on transfer learning for functional classification in bioinformatics, S. Duarte, PhD thesis UNL
• 2023, Representation learning for sequential data applied to structure prediction in bioinformatics, L. Zablocki, PhD thesis UNL
• 2023, Computational biomechanical modeling and machine learning techniques to estimate gait dynamics in the absence of force platforms, J. Beret, PhD thesis UNL

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, 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
• 2023, Automation system for data extraction from digitized invoices, A. Gorostidi, E. Claucich, Informatics Eng.
• 2022, Development of a tool for automatic identification of foraging rhythm of leaf-cutting ants from video records, F. Sturniolo, Informatics Eng., U. Nacional del Litoral