I’m a PhD student at the Mathematical Institute of Utrecht University where I work under the supervision of Sjoerd Dirksen. My research is concerned with the mathematical foundations of machine learning and in particular, I’m interested in the properties of (random) neural networks.

Before coming to Utrecht, I completed an MSc in Mathematics at RWTH Aachen University.

Since October 2023 I have been co-organizing the MI PhD Seminar at Utrecht University.

Publications and Preprints

  • S. Dirksen, P. Finke, and M. Genzel. Memorization with neural nets: going beyond the worst case. 2023. arXiv: 2310.00327 [stat.ML].

Talks and Posters

Theses

  • Compressive Sensing and Stable Embeddings with Structured Random Matrices under Generative Priors
    Master’s Thesis supervised by Holger Rauhut at RWTH Aachen University
  • Integral Deferred Correction Methods for Singularly Perturbed Problems
    Bachelor’s Thesis supervised by Sebastian Noelle at RWTH Aachen University

Teaching

  • Introduction to Probability Theory, Spring 2024 at Utrecht University (planned)
  • Analysis, Spring 2024 at Utrecht University (current)
  • Introduction to Machine Learning, Fall 2023 at Utrecht University
  • Introduction to Probability and Statistics, Spring 2023 at Utrecht University
  • Seminar Machine Learning, Spring 2023 at Utrecht University
  • Introduction to Machine Learning, Fall 2022 at Utrecht University
  • Programming for Mathematics, Spring 2022 at Utrecht University
  • Introduction to Machine Learning, Spring 2022 at Utrecht University
  • Introduction to Probability and Statistics, Fall 2021 at Utrecht University
  • Analysis, Spring 2021 at Utrecht University
  • Algorithms and Data Structures, Spring 2016 at RWTH Aachen University