Teaching

Lectures

Advanced statistical computing, Leiden University (Fall 2020)
Statistics for astronomy and physics students I, Leiden University (Fall 2020)
Statistics for astronomy and physics students II, Leiden University (Fall 2020)
Statistics for astronomy and physics students, Leiden University (Spring 2020)
Nonparametric statistical learning, TU Munich (Summer 2019)

Teaching assistant

Analysis for computer scientists, TU Munich (Winter 2018)
Stochastics for vocational school teachers, TU Munich (Summer 2018)
Computational statistics, TU Munich (Summer 2018)
Rank-based nonparametric statistics, TU Munich (Summer 2016)

Seminars for Master’s students

Functional data analysis, TU Munich (Summer 2017)
Mathematical introduction to neural networks, TU Munich (Winter 2016)
Nonparametric statistical methods, TU Munich (Summer 2016)

Supervision of MSc theses

Ongoing

I am currently supervising 3 MSc students (Lotte Pater, Abed Razaway, Jasper Eggeraat).

Completed

Carmona Osorio, N. (2020). Using Meta-Learning to Fit a Multivariate Distribution of Hyperparameters.
Matsakidis, P. (2020). Forecasting Age-Specific Mortality Rates Using Functional Data Analysis.
Krüger, D. (2018). General vine copula models for stationary multivariate time series.
Weber, R. (2018). Value at Risk Estimation with Subset Simulation.
Jebabli, E. (2018). Statistical methods for the objective assessment of subjective ratings of advanced driver assistance systems.
Kreuzer, A. (2016). Analysing the spatial dependency among fire danger indices.
Brauer, A. (2016). Kernel estimation of conditional copula densities.
Bumann, C. (2016). Sparse structure selection for high-dimensional vine copula models.
Annoh, I. (2016). Comparing two-part models for estimation of actuarial total loss.
Zhang, S. (2015). Copula-based total loss estimation with group effects on the dependence structure.