About me

I am a researcher with background in kernel-based approximation for machine learning. Recently I started focussing on theory of deep learning, especially understanding its generalization and alignment properties.

Short Biography

Dr. Wenzel completed his Bachelor in Physics (2013–2016) and his Master in Mathematics (2016–2019) at the University of Stuttgart. From 2019 to October 2023, he pursued a PhD at the SimTech Cluster of Excellence under Prof. Bernard Haasdonk, with research stays at KU Leuven (Prof. Johan Suykens) and the University of Genova (Prof. Lorenzo Rosasco). Afterwards he joined the University of Hamburg (Nov 2023–Oct 2024) as a Postdoctoral fellow under Prof. Armin Iske. Mid-October 2024, he joined LMU Munich as Akademischer Rat working with Prof. Holger Rauhut.

Research Topics

Deep Learning

Kernel-based Approximation

Numerical Analysis

Publications