Overview

I’ve had the opportunity to design and teach a range of courses at the undergraduate and postgraduate levels, mainly in Europe and Latin America. My teaching has focused on topics such as Bayesian data analysis, predictive modelling, causal inference, econometrics, and analytics for decision support.

Previous Courses

  • Advanced Bayesian Data Analysis (2023–2024, KIT & TU Dortmund)
    Master’s level – Stan & R

  • Bayesian Causal Inference (2023–2024, TU Dortmund)
    Master’s level – Python, Stan & R

  • Applied Predictive Analytics (2021–2023, HU Berlin)
    Master’s level – Python

  • Advances in Probabilistic Machine Learning (2021–2023, HU Berlin)
    Master’s level – Python

  • Information Systems (2021–2023, HU Berlin)
    Master’s level – Python

  • Advanced Data Analytics for Management Support (2021–2022, HU Berlin)
    Master’s level – Python

  • Applied Econometrics (2016–2017, Universidad de Chile)
    Undergrad level – Python & R

Current Courses

  • Quantitative Research Methods (2025–present, University of Edinburgh)
    Master’s level – Excel & SPSS

  • Data Analysis and Statistics for Business (2025–present, University of Edinburgh)
    Master’s level – Python

  • Mixture Models in R (2018–present, DataCamp)
    Online course – R