Teaching
Supervised Machine Learning with Imbalanced Data
Self-designed workshop introducing different techniques to deal withimbalanced data in supervised classification problems.
CompText 2022 & 2023
Methods II: Quantitative Methods
Tutorial introducing Master’s students to fundamental concepts of quantitative methods, such as experiments, regression, causality, and hypothesis testing, and their application in R.
Fall 2023 and 2024, ETH Zurich
Intro to R and Statistics
Tutorial for Master students, focusing on the R programming language.
Fall 2020 and 2021 (two labs each term), Hertie School, Berlin