CV

Education

• Ph.D in Computer Science, (ongoing)
• M.S. in Mathematics, Ludwig Maximilian University Munich
• M.S. in Theoretical Physics, Ludwig Maximilian University Munich & Technical University Munich
• B.S. in Physics, Heidelberg University

Publications

On the successful Incorporation of Scale into Graph Neural Networks

Transferability for Graph Convolutional Networks

HoloNets: Spectral Convolutions do extend to Directed Graphs

ResolvNet: A Graph Convolutional Network with multi-scale Consistency

Limitless stability for Graph Convolutional Networks

Graph Scattering beyond Wavelet Shackles

Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect

Dirac equation in 2-dimensional curved spacetime, particle creation, and coupled waveguide arrays

Talks

Machine Learning Multiscale Processes Workshop

April 01, 2025

Graph Signal Processing Workshop

June 01, 2024

Learning on Graphs & Geometry Seminar (LoG2)

March 01, 2024

Frontiers in Graph Learning Workshop

December 01, 2023

Learning on Graphs Conference

November 01, 2023

Learning on Graphs Conference

November 01, 2023

Teaching