Teaching

I have taught a multitude of courses at both the undergraduate and graduate level, at institutions in the United Kingdom, United States, Colombia and Argentina. The suite of courses I have developed covers both frequentist and Bayesian Econometrics (ranging from the basic core to graduate level, including micro- and macro-econometrics, asymptotic theory, causal inference, impact evaluation), as well as network analysis, data analytics, and research methods.

If you would like me to teach a short course at your institution, please feel free to get in touch (Contact).

Below you can find details on each course, including weekly slides and lab materials where available. Larger packages, research code, and paper supplements are kept on the Code page.

Courses Taught

• ECON5152 — Network Analysis: Lecturer, Course Coordinator and Creator
  University of Glasgow, Spring 2026

  • Week 1: Introduction to Networks — Slides · Lab
  • Week 2: Network Types and Statistics — Slides · Lab
  • Week 3: Centrality and Importance — Slides · Lab
  • Week 4: Linear Processes with Networks — Slides · Lab
  • Week 5: Random Graphs — Slides · Lab
  • Week 6: Structure in Random Graphs — Slides · Lab
  • Week 7: Strategic and Economic Networks — Slides · Lab
  • Week 8: Networks as Data — Null Benchmarks and Exponential Random Graph Models — Slides · Lab
  • Week 9: Diffusion in Networks — Slides · Lab
  • Week 10: Advanced Topics and Complex Networks — Slides · Lab
  • Supplementary: Notebook used to generate slide figures

• ECON5128 — MRes Econometrics 2: Lecturer and Course Coordinator
  University of Glasgow, Spring 2024 – Spring 2025

  • Weeks 1–2: Panel Data — Slides
  • Week 3: Linear GMM — Slides
  • Weeks 4–5: Non-Linear GMM — Slides
  • Week 7: Misspecification — Slides
  • Supplementary: Lecture notes (OneNote)

• ECON5121 — Microeconometrics: Impact Evaluation and Causal Analysis: Lab Instructor
  University of Glasgow, Fall 2022

• ECON5002 — Basic Econometrics: Lecturer
  University of Glasgow, Fall 2022

• ECON5120 — Bayesian Data Analysis: Lecturer, Lab Instructor & Course Coordinator
  University of Glasgow, Spring 2022 – Present

  • Week 1: Introduction and Examples of Bayes’ Rule — Slides · Lab
  • Week 2: Normal Model and Posterior Expectations — Slides · Lab
  • Week 3: MCMC Methods — Slides · Lab
  • Week 4: Normal Linear Regression and Hierarchical Models — Slides · Lab
  • Week 5: Model Evaluation and Empirical Example — Slides · Lab
  • Week 6: Forecasting and Model Uncertainty — Slides · Lab
  • Week 7: Variational Bayes (Advanced MCMC Methods) — Slides · Lab
  • Week 8: Hamiltonian Monte Carlo (Advanced MCMC Methods) — Slides · Lab
  • Week 9: Model Uncertainty and Variable Selection — Slides · Lab
  • Week 10: Time Series and Bayesian VARs — Slides · Lab
  • Supplementary: Lecture notes on Variational Bayes for Linear Regression

• ECON5004P / ECON5102P — Research Methods and Dissertation: Lecturer
  University of Glasgow, Fall 2021

• ECON 101 — Principles of Economics: Instructor
  Emory University, Spring 2020

• ECO 251 — Econometrics 2: Adjunct Professor
  Universidad EAFIT, July 2015 – July 2016

• ECO 250 — Econometrics 1: Adjunct Professor
  Universidad EAFIT, July 2015 – July 2016