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 integrative 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. —
Courses I have taught
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.
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.
Advanced programming (C++)
Teaching assistant from 2011-2014, Bioingineering, Universidad Nacional de Entre Ríos.
Object oriented programming, numerical methods.
Courses for the industry
- 2021: Introduction to autoencoders, YPF-Tec
- 2021: Introduction to data science, Knowledge economy training program for regional governments
- 2019: LabAI: Fundamentals of deep learning, Folder IT