“If you want to master something, teach it. The more you teach, the better you learn.” – Richard Feynman
As PhD Candidate:
- Winter Term, 2023/2024
- Statistics for Geosciences (Lecture and Exercise)
- Selected Topics in Decision Theory (Seminar)
- Statistical Inference (3 lectures as substitute, ~170 students)
- Summer Term, 2023
- Causality (Exercise)
- Winter Term, 2022/2023
- Statistics for Geosciences (Lecture and Exercise)
- Economic and Social Statistics (Lecture and Exercise)
- Summer Termin, 2022
- Basic Probability Theory (Exercise)
- Statistics as Minor IV (Lecture and Exercie)
- Winter Term, 2021/2022
- Statistics for Geosciences (Exercise)
- Economic and Social Statistics (Lecture and Exercise)
- Probability Theory and Inference I (Exercise)
Besides, I (co-)supervise BSc and MSc theses in statistics (2 completed).
I also taught some undergraduate courses during my master’s:
- Summer Term, 2021
- Introduction to Probability Calculus and Inferential Statistics (Tutorial)
- Winter Term, 2019/20
- Generalized Regression Models (Tutorial)
- Summer Term, 2019
- Linear Models (Tutorial)
Potential Topics for Bachelor/Master Theses under my co-supervision:
- De-biased Boosting from Complex Samples
- Survey on Continual Learning (Literature research)
- Bayesian Optimization - a Decision-Theoretic Perspective
- Lipschitz-Regularization in Deep Learning
- Horvitz-Thompson Estimation from Bayes-optimal Data
If you are interested in one of those topics, please reach out an I will provide you with literature.