Teaching

Interactive and Explainable AI Design at Jheronimus Academy of Data Science

• Years: 2024-2027
• Role: Lecturer and TA
• Description: I give two lectures in this course. One is on feature attribution methods such as LIME and SHAP. The other is one Counterfactual Explanations. For both, I have created accompanying Jupyter notebooks as a homework assignment in class. As a TA, I also help with grading and organizing, developing assignments, and supervising groups.

IR2 at University of Amsterdam

• Years: 2025
• Role: TA
• Description: I supervised and graded groups that reproduce papers in the field of Information Retrieval.

Recommender systems at University of Amsterdam

• Years: 2024
• Role: TA
• Description: I supervised and graded groups that reproduce papers in the field of news recommender systems, following the 2024 recsys challenge (https://www.recsyschallenge.com/2024/).

Social Network Analysis at Leiden University

• Years: 2022
• Role: TA
• Description: As a master student, I helped grade and supervise groups in their projects where they reproduced a paper in the network analysis field (see study guide here). I also helped TA the online course at King’s College London on Network Analysis.