About

Hi! I’m Simon, ELLIS PhD student in Machine Learning, jointly supervised by Asja Fischer Ruhr University Bochum and Pietro Liò University of Cambridge, working on mathematical foundations and applications of spatiotemporal deep learning and neural ODEs.

My path began with a B.Eng. in Computer Science from UAS Würzburg-Schweinfurt, where I first engaged with machine learning through applied projects and a student research assistant position. My Bachelor’s thesis, published at IJCNN 2022, explored risks in scalable kernel machines using matrix approximation.

Recognizing the importance of rigorous mathematical tools in AI research, I pursued a Master’s in Data Science at FAU Erlangen-Nürnberg, where I focused on stochastic modeling and artificial intelligence. My Master’s thesis, conducted at the Pervasive AI Lab @ Uni Pisa, explored representation learning for long-range interactions in graphs.

My current research builds on this foundation by investigating the interplay between structure, uncertainty, and learning dynamics in modern neural architectures.