teaching

LMU Munich

Advanced Methods in Social Statistics and Social Data Science
Summer 2024: Co-Instructor
  • I taught four lectures introducing challenges in algorithmic decision-making, focusing on topics such as causal modeling, multicalibration, and uncertainty estimation.
Machine Learning Meets Causality
Winter 2023: Co-Instructor
  • I co-organized a graduate level seminar on causal machine learning.
Computational Social Science
Winter 2022 & 2023: Graduate Teaching Assistant


Heidelberg University

Machine Learning for Real World Challenges
Summer 2022: Graduate Teaching Assistant
Dynamical Systems Theory in Machine Learning and Data Science
Winter 2021: Graduate Teaching Assistant