Teaching

Graduate

• Causal Inference (2024/1)

Undergraduate

• UNICAMP
  • Econometrics (2023/2)
  • Time Series (2023/1)
  • Multivariate Statistical Analysis (2022/2).
  • Statistics for Experimentalist (2022/2, 2023/2).
• UFRJ
  • Quantitative Methods for Business Administration (2022/1).
  • Statistics for Business (2020/2, 2021/1, 2021/2, 2022/1).
  • Forecasting and Regression Models (2020/1, 2020/2, 2021/2, 2021/2).
• UFABC
  • Introduction to Probability and Statistics (2020/1).
• T.A
  • Probability, EESP-FGV (2018/1).
  • Statistics for experimentalist, UNICAMP (2015/2, 2012/2).
  • Elementar Statistics, UNICAMP (2012/2)
  • Introduction to probability models, UNICAMP (2012/1).
  • Statistical Computing, UNMSM (2010/1).

Short Courses

• Introdução à mineração de texto com R. RJ-BR, 2021. Slides 1 – Slides 2 – Slides 3 – Slides 4
• Modelling and forecasting financial risk measures, II Symposium on Mathematics and Applied Mathematics. Arequipa-Perú, 2019.
• Special topics in R software: Graduate program, National University of San Marcos. Lima-Perú, 2016.
• Special topics in R software: Ricardo Palma University. Lima-Perú, 2016.
• Data manipulation and data visualization in R: 17th Statistics week, University of Campinas. Campinas-Brazil, 2015.