Department for Applied Mathematics
University of Freiburg
79104 Freiburg im Breisgau

Office hours: on appointment

Teaching

Summer semester 2026

• Lecture: Algorithmic Aspects of Data Analytics and Machine Learning, Prof. Sören Bartels

Winter semester 2025/2026

• Lecture: Theory and Numerics for Partial Differential Equations – Selected Nonlinear Problems, Prof. Sören Bartels

• Seminar: Machine-Learning Methods in the Approximation of PDEs, Prof. Sören Bartels

Summer semester 2025

• Lecture: Algorithmic Aspects of Data Analytics and Machine Learning, Prof. Sören Bartels

• Seminar: Numerik partieller Differentialgleichungen, Prof. Sören Bartels

Winter semester 2024/2025

• Lecture: Numerik 1, Prof. Sören Bartels

• Seminar: Machine-Learning Methods in the Approximation of PDEs, Prof. Sören Bartels

Summer semester 2024

• Lecture: Numerik 1, Dr. Alexei Gazca

Winter semester 2023/2024

• Lecture: Numerik 1, Dr. Alexei Gazca

Summer semester 2023

• Lecture: Einführung in die Programmierung für Studierende der Naturwissenschaften, Ludwig Striet

Research interest

My research lies at the interface of deep learning and numerical analysis in applied mathematics. I focus on nonlinear PDEs, in particular harmonic maps between manifolds and variational problems, such as the ROF model. A central theme of my work is the integration of learning-based components into classical numerical schemes while preserving their underlying structure.

Talks and Presentation

• Title: "Learning based Acceleration of the discrete Harmonic Map Heat Flow" at FostEring MAth taLEntS in Freiburg, Germany, April 2026

• Title: "Learning Adaptive Step Sizes in Iterative PDE Solvers: Harmonic Map Heat Flow" at The Mathematics of Scientific Machine Learning and Digital Twins 2025 in Erice, Italy, November 2025

CV

CV