Teaching
Across different years and contexts, I have developed courses, notes, slides, code, and teaching material in statistics, machine learning, Bayesian modeling, probability, and inference. This teaching work has been one of the most consistent parts of my professional life.
Current Teaching Themes
Bayesian Statistics
Course notes, slides, complementary material, and code focused on Bayesian thinking, hierarchical models, and practical statistical modeling.
Applied Learning
Machine Learning
Lecture material and code spanning statistical learning, regression, classification, dimensionality reduction, and computational examples.
Foundations
Probability and Inference
Foundational teaching has been a recurring part of my work over the years, especially through these courses and assistantships: