Teaching philosophy
My teaching integrates open-source tools, real-world datasets, and hands-on coding from day one. All courses use Jupyter Notebooks and follow FAIR data principles — making science reproducible, accessible, and reusable. Students work with real precipitation, runoff, and climate datasets from the Andes and beyond.
Current courses — Universidad de Concepción
Guest lectures & short courses
Machine Learning Hydrological Modelling
IUPWARE alumni refresher course in Uganda, March 2025
Refresher course
Métodos estadísticos
Graduate
Machine learning para modelación de caudales y clima
.
Graduate
Hidrometría Avanzada
.
Graduate
Introducción a la Ciencia de Datos
.
Undergraduate
Open teaching materials
All course notebooks, datasets, and exercises are shared openly on GitHub following FAIR principles. Contributions and forks welcome.