▶ (Senior TA) Master AI Reinforcement Learning 2020 course. This involved writing solutions for homework exercises, structuring the tutorial sessions and grading exam questions. I helped with restructuring the course to an online format.

▶ (Senior TA) Master AI Deep Learning 2020 course. This involved leading tutorial sessions, grading assignments and creating homework (coding & pen-paper) and exam questions. These included the topics: ResNets, GANs, LSTM, bidirectional LSTM, Normalizing Flows, de-quantization methods and variational inference methods.

▶ (Supervisor) Fairness-Accountability-Transparency-Confidentiality (FACT) 2021 course. This involved supervising six student groups of 5 students each on reproducing the papers:
- "Explaining Groups of Points in Low-Dimensional Representations"
- "Identifying Through Flows for Recovering Latent Representations"
All groups submitted to the Reproducibility Challenge 2021 and 3/6 groups got accepted for publishing in the ReScience-C journal.

▶ (TA) UvA Master AI Information Visualization 2021 course by moderating the Q&A of the online lectures.

▶ (Senior TA) Mathematics Master Causality 2021 course. This involved leading tutorial sessions, grading assignments and creating practice exercises.

Volunteering:

▶ Reviewer for Women in Machine Learning 2019

▶ Volunteer for mini lecture series Girls who Machine Learn 2021