Teaching

I have served variously as a teaching and principal teaching assistant by tutoring students, conducting exercise classes, coordinating teaching activities with other assistants, preparing exercises, and organizing exams for the following courses:

1. MATH-412: Statistical Machine Learning by Dr. Guillaume Obozinski, as the principal teaching assistant in Autumn 2021 and Autumn 2022.
2. MATH-240: Statistics by Prof. Victor Panaretos, as the principal teaching assistant in Spring 2022 and as a teaching assistant in Spring 2019.
3. MATH-240: Statistics by Dr. Mária Süveges, as the principal teaching assistant in Spring 2021.
4. MATH-413: Statistics for Data Science by Prof. Sofia Olhede, as the principal teaching assistant in Autumn 2019.
5. MATH-413: Statistics for Data Science by Prof. Victor Panaretos, as a teaching assistant in Autumn 2018.

Furthermore, I have supervised the following semester projects and master's theses:

1. Bregman Divergences in Statistics by Elena Filipovic, Spring 2025. Master's thesis.
2. Proper Scoring Rules for Survival Analysis by Massimiliano Verzasconi, Spring 2025. Master's thesis.
3. Weighted Scoring Rules by Leopold Schlemmer, Fall 2024. Bachelor's thesis.
4. Proper Local Scoring Rules by Vasileios Tatsios, Fall 2024. Bachelor's thesis.
5. Statistical Reinforcement Learning by Yann Eberhard, Spring 2023. Master's thesis.
6. Kernel Methods in Machine Learning and Statistics by Yerkin Yesbay, Autumn 2022. Master's semester project.
7. Reproducing Kernels and Applications to Statistics by Qayis Beji, Spring 2022. Bachelor's semester project.
8. Entropy Rate Estimation with Applications to Financial Machine Learning by Yann Eberhard, Autumn 2021. Master's semester project.