I am a PhD student in the Junior Research Group: Numerics of PDEs. In my PhD project I focus on multiscale methods for parabolic PDEs. Further, I work on combining classical numerical methods with machine learning, where neural networks are used to replace, improve, or accelerate parts of numerical methods.

Short CV

• Since April 2025: PhD student in the Junior Research Group: Numerics of PDEs
• 2023-2025: Master studies in mathematics at KIT
• 2017-2022: Bachelor studies in mathematics at KIT

Research Interests

• Multiscale methods
• Machine learning and neural networks
• Physics-informed neural networks

Teaching