- Fairness, Accountability, and Transparency in Machine Learning (2022-2023). Introduces how ML technologies can bring social progress but reinforce oppression and reproduce social injustice, equiping social science students with technical tools to engage critically with automated decision making, data mining, and digital technologies. With Ana Valdivia at Oxford. [Reading list]
- Computational Methods for the Social Sciences (2023). Develops Python programming skills to study online culture, communities, and human behaviours, by collecting and wrangling data from social websites and platforms. With Fabian Stephany at Oxford. [Reading list]
- Accessing Research Data on the Social Web (2022) at Oxford.
- Guest lecturer on Privacy Engineering and Data Privacy (2020-21); course led by Jean-Charles Delvenne at UCLouvain.
- Teaching Assistant for Mathematics, Engineering Projects, Data Science, and Machine Learning at UCLouvain (2014-2019).