About me

I am a postdoctoral researcher in the Faculty of Statistics at TU Dortmund University.

My research lies at the intersection of statistical modelling and machine learning, specifically hidden Markov models (HMMs) and tree-based methods.

Working with data from various sports (e.g., soccer, American football, and handball), my goal is to develop models that help evaluate players and teams and support strategic decision-making. Beyond sports analytics, I am also interested in applications of HMMs to finance or energy data.

News

Together with my co-authors Robert and Ole, we have published our pre-print Integrating Unsupervised and Supervised Learning for the Prediction of Defensive Schemes in American Football on arXiv. Feel free to reach out in case of questions or comments!

I will present ongoing work on Predicting Qualification Thresholds in European Club Football’s Incomplete Round-Robin Tournaments at the Football Analytics Symposium, taking place in Leuven on April 23.

Teaching

In the summer term 2026, I will give a lecture on Hidden Markov and State Space Models. If you are a Master’s student enrolled in Statistics, Data Science, or Econometrics at TU Dortmund University, you can join the course as an elective module. I look forward to welcoming you!