Teaching

Academic Year (2020-21)

In the upcoming academic year, I will be teaching undergraduate and postgraduate courses in research design, methodology, and statistics.

Methods Schools

  • Machine Learning – 5 x 3 hour course introducing the fundamentals of machine learning in a social science setting, to be taught at the Oxford Spring School in Advanced Research Methods 2021

  • R for Reproducible Research – 2 x 2 hour course in coding best practices using R, taught at the Oxford Spring School in Advanced Research Methods 2019

  • Machine learning and heterogeneity – Workshop, taught at CESS/Essex Summer School 2019

  • Introduction to R – Programming with R for the design and analysis of experimental data, taught at the CESS/Essex Summer School 2019

Public Sector

  • Advanced Course on Data Analytics for the Public Sector – a self-guided 8 module course on machine learning, causal inference, experimental methods and visualization, currently in production for the Asian Productivity Organization

Previous Teaching

  • QStep I – Quantitative lab sessions in foundational statistics and linear regression (undergraduate)

  • Practice of Politics – First-year introductory paper in comparative politics (undergraduate)

  • Comparative Government – Finals paper in comparative politics (undergraduate)

  • Introduction to Statistics – mandatory statistics course for first-year Masters and DPhil students (postgraduate)