π¨π»βπ» Teaching
Courses Iβve taught or assisted in, across social science and data science
β‘ Short courses
Machine Learning β 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.
π Files
Deep Learning & Text-as-Data β 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.
π Files
π§βπ« Teaching Assistance
Advanced Text-as-Data β 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.
π Course website
Quantitative Methods II β FGV CPDOC (2024.2, Undergraduate)
Exploratory data analysis, basic statistical inference, and regression models.
Instructor: Jairo Nicolau, Ph.D.
Introduction to R β FGV CPDOC (2020.2, Graduate)
Introduction to programming for social sciences.
Instructor: Jimmy Medeiros, Ph.D.