πŸ‘¨πŸ»β€πŸ’» Teaching

Courses I’ve taught or assisted in, across social science and data science

⚑ Short courses

Machine Learning – Methodological Training of MAPE (2025.2, Graduate)
Fundamentals of machine learning, focusing on recognizing, training, interpreting, and evaluating simple predictive models applied to social research.
πŸ”— Files

Deep Learning & Text-as-Data – 10th Student Week of the Postgraduate Programs of IESP-UERJ (2025.2, Graduate)
Fundamentals of deep learning: what it is and how to train a neural network, and text-as-data with deep learning.
πŸ”— Files

πŸ§‘β€πŸ« Teaching Assistance

Advanced Text-as-Data – IESP-UERJ Winter School (2025.1, Graduate)
Deep Learning, Transformers, Embeddings, and Large Language Models applied to political science research.
Instructors: Tiago Ventura, Ph.D., and SebastiΓ‘n Vallejo Vera, Ph.D.
πŸ”— Course website

Quantitative Methods II – FGV CPDOC (2024.2, Undergraduate)
Exploratory data analysis, basic statistical inference, and regression models.
Instructor: Jairo Nicolau, Ph.D.

Introduction to R – FGV CPDOC (2020.2, Graduate)
Introduction to programming for social sciences.
Instructor: Jimmy Medeiros, Ph.D.