In addition to my research, I'm involved in teaching and have worked as a teaching assistant for the courses listed below:

Analysis III for Mathematicians (Summer 2026 - 4 hours/week)
Analysis II for Mathematicians (Winter 2025/26 - 4 hours/week)
Analysis I for Mathematicians (Summer 2025 - 4 hours/week)
Analysis II for Engineers (Winter 2024/25 - 4 hours/week)
Stochastics for Computer Scientists (Summer 2024 - 4 hours/week)
Insurance Mathematics; Analysis I and Linear Algebra for Engineers (Winter 2023/24 - 4 hours/week)
Introduction to Data Science (Summer 2023 - 2 hours/week)
Financial Mathematics (Winter 2022/23 - 2 hours/week)
Insurance Mathematics (Summer 2022 - 2 hours/week)
Projectseminar on Applied Statistics (Winter 2021/22 - 1 hour/week)
Applied Statistics (Summer 2021 - 2 hours/week)

Alongside my teaching activities, I also co-supervised bachelor’s and master’s theses on the following topics:

Bachelor's Theses

Using Video GAN Technology to Simulate the Flow Through a Low-Pressure Turbine Stage
Learning Time Dynamics in Turbulent Flow Under Geometry Changes with Conditional DCGAN
Variational Representations of Divergences and Adversarial Learning
Learning Time Dynamics in Turbulent Flows using Generative Networks
Training Diffusion Models on a Kármán Vortex Street
Generative Adversarial Learning for a Simple Statistical Estimation Problem
Impact of Excess Mortality Caused by the COVID-19 Pandemic on Life Insurance Pricing
Reconstruction of Turbulence Using Super-Resolution GAN
Domain Transfer for Synthetic Data for Automated Driving Using GAN

Master's Theses