About me

My mathematical journey began in 2012 in Nijmegen at the Radboud University, where I have been mainly influenced by A. C. M. van Rooij, Peter Hochs and Jens Kaad. Thanks to Jens I found my way into the beautiful world of non-commutative geometry. In 2020 I finished my doctoral studies under the supervision of Wilhelm Winter at the Univerisy of Münster. Here, I did my research in the field of C*-algebras, a subject which has its origins in quantum machanics.

After that I started a position at Atruvia AG in Münster, where I was resposible for migrating a z/OS batch application to OpenShift. Furthermore, I researched on new methods to make AML solution more efficient and accurate.

At Atruvia, I also developed a strong interest in automation, distributed computing, kubernetes, linux, machine learning and how you can combine these things in a meaningful way.

Currently, I work as Senior Data Scientist at flaschenpost SE. Using machine learning, we try to make the last mile delivery as efficient as possible.

For a more detailed cv see LinkedIn.

In my free time I also like to work on my Raspberry Pi (kubernetes cluster) and learning new things related to the mathematics of machine learning, CS, Data Science and new programming languages like Julia.

Mathematics
  • C*-algebras
  • K-theory
  • Non-commutative geometry
  • Functional analysis
Data Science & ML
  • Python
  • Machine learning
  • Last-mile delivery optimization
  • Feature drift analysis
Engineering
  • Kubernetes
  • OpenShift
  • Cloud (AWS/Azure)
  • Linux & automation
Languages
  • Python
  • Julia
  • Rust
  • Go