teaching

I was a teaching assistant at FGV from 2022 to 2025. Lecture notes (in Portuguese) are available here.

Multivariate Calculus (summer), undergraduate. Teaching assistant, with Sônia Durães. School of Applied Mathematics, FGV.
Partial derivatives, multiple integrals, vector calculus, and some linear algebra.
Introduction to Computing (autumn), undergraduate. Teaching assistant, with Flávio Codeço Coelho, Walter Wagner Sande. School of Applied Mathematics, FGV.
Algorithms, data structures, complexity, and the basics of Python. Notes in Portuguese.
site

Introduction to Real Analysis (summer), graduate. Teaching assistant, with Philip Thompson. School of Applied Mathematics, FGV.
Sequences, series, continuity, differentiability and measure theory; the Master's admission course.
Multivariate Calculus (summer), undergraduate. Teaching assistant, with Sônia Durães. School of Applied Mathematics, FGV.
Partial derivatives, multiple integrals, and some linear algebra.
Statistical Modelling (autumn), undergraduate. Teaching assistant, with Luiz Max de Carvalho. School of Applied Mathematics, FGV.
Linear, logistic and generalised linear models, estimation and diagnostics, plus Bayesian statistics. Materials in Portuguese.
repository
Numerical Analysis and Simulation (spring), graduate. Teaching assistant, with Hugo de la Cruz Cancino. School of Applied Mathematics, FGV.
Numerical linear algebra and nonlinear equations, interpolation, differentiation and integration, ODEs and SDEs.
Computing, undergraduate. Teaching assistant, with Walter Wagner Sande, Bruno Cuconato Claro. Brazilian School of Economics and Finance, FGV.

Multivariate Calculus (summer), undergraduate. Teaching assistant, with Sônia Durães. School of Applied Mathematics, FGV.
Partial derivatives, multiple integrals, vector calculus, and some linear algebra.
Data Science Techniques and Algorithms (autumn), undergraduate. Teaching assistant, with Alberto Paccanaro, Ruben Jimenez. School of Applied Mathematics, FGV.
Supervised and unsupervised learning and the most common machine learning algorithms.
Statistical Inference (spring), undergraduate. Teaching assistant, with Philip Thompson. School of Applied Mathematics, FGV.
Estimation, hypothesis testing, confidence intervals, Bayesian inference and linear regression. Site in Portuguese.
site · exercises · exams

Introduction to Computing (autumn), undergraduate. Teaching assistant, with Rafael de Pinho. School of Applied Mathematics, FGV.
Algorithms, data structures, complexity, and the basics of Python. Notes in Portuguese.
site
Multivariate Calculus (spring), undergraduate. Teaching assistant, with Maria Izabel Camacho. School of Applied Mathematics, FGV.
Partial derivatives, multiple integrals, vector calculus, and some linear algebra.