Teaching

Courses and thesis supervision

Neural networks

Associate professor (in charge) since 2022, Data Mining Master, Universidad Austral.
Introduction to neural networks for industry oriented applications.

Deep learning

Associate professor since 2021, Informatics Engineering & graduate course, Universidad Nacional del Litoral. Introduction and deep dive on deep learning techniques and applications.

Final project

Associate professor (in charge) since 2022, Robotics and Automation Associate degree, Universidad Nacional del Litoral.
Last subject in the program, with the aim of giving tools to and mentoring students to complete an integrative project of their choosing.

Digital Image Processing

Teaching assistant since 2017, Assistant professor since 2024, Informatics Engineering, Universidad Nacional del Litoral.
Covers digital image basics and perception, space and frequency domain operations, restauration, color processing, compression and segmentation.

Sporadic courses

Introduction to Machine Learning

Teaching and course preparation in 2022 Bootcamp, Women in Bioinformatics and Data Science LA

Machine learning for bioinformatics

Associate professor 2020 & 2021, Asociación Argentina de Bioinformática y Biología Computacional
Machine learning methods used in bioinformatics, including clustering, dimensional reduction, supervised learning and neural networks.

Machine learning with applications

Associate professor in 2019 & 2021, graduate course, Universidad Nacional de Entre Ríos
The course includes basic machine learning techniques applied on signals, images and structured data using the Python ecosystem.

Courses for the industry

Thesis and projects supervision

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

Ongoing

  • 2024, New models based on transfer learning for functional classification in bioinformatics, PhD thesis S. Duarte, UNL
  • 2023, Representation learning for secuential data applied to structure prediction in bioinformatics, PhD thesis L. Zablocki, UNL
  • 2023, Computational biomechanical modeling and learning techniques Machine to estimate Gait Dynamics in the absence of force Platforms (co-advisor), J. Beret, Ph.D. in Engineering
  • 2022, 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 (co-advisor), V. Fumero, Master’s degree in data science, U. Austral