Abteilung für Angewandte Mathematik
Albert-Ludwigs-Universität Freiburg
79104 Freiburg im Breisgau

Sprechstunde: n.V.

Lehre

Sommersemester 2026

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

Wintersemester 2025/2026

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

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

Sommersemester 2025

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

• Assistenz: Seminar MNumerik partieller Differentialgleichungen, Prof. Sören Bartels

Wintersemester 2024/2025

• Assistenz: Vorlesung Numerik 1, Prof. Sören Bartels

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

Sommersemester 2024

• Assistenz: Vorlesung Numerik 2, Dr. Alexei Gazca

Wintersemester 2023/2024

• Assistenz: Vorlesung Numerik 1, Dr. Alexei Gazca

Sommersemester 2023

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

Forschungsschwerpunkt

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.

Vorträge und Präsentationen

• 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