teaching

Summer 2025

  • MSc Thesis
    MSc Thesis
    Supervisor

    Student: Lenard Rommel

  • Lecture
    Probabilistic Machine Learning
    Teaching Assistant

    • Exercise sheet on sampling from Gaussian process posteriors using Matheron’s rule and pathwise conditioning

Summer 2024

Winter 2023

  • Lecture
    Data Literacy
    Teaching Assistant

    Advising data science group projects

Summer 2023

  • MSc Thesis
    A Non-local Information Operator for Probabilistic PDE Solvers
    Supervisor

    Student: Tim Weiland

  • Lecture
    Probabilistic Machine Learning
    Teaching Assistant and (Substitute) Lecturer

    • Lecture on Gaussian processes
      topics covered: sample paths, linear algebra in GP regression
    • Exercise sheets on exponential families, multi-output GP regression, and GP source separation

Winter 2022

  • Lecture
    Numerics of Machine Learning
    Lecturer

    • Lecture on Numerical Linear Algebra
      (co-authored with Jonathan Wenger)
    • Lecture and Tutorial on Partial Differential Equations
  • Research Project
    Scaling GP-based PDE Solvers — A Case Study on the Shallow-Water Equations
    Supervisor

    Student: Tim Weiland

Summer 2022

  • Lecture
    Theorie der Informatik II (Theory of Computer Science II)
    Teaching Assistant