Florian Brueck

Florian Brueck is a Postdoctoral Researcher at the Research Center for Statistics at the University of Geneva, under Prof. Sebastian Engelke. He earned his PhD in Mathematics (Dr. rer. nat.) from the Technical University of Munich (TUM) in 2023, with distinction, under Prof. Matthias Scherer. His research focuses on statistical model comparison, Bayesian non-parametric survival analysis, Lévy processes, extreme value theory, and the integration of machine learning into classical statistics.

Education:

• PhD in Mathematics, TUM (2023)
• MSc in Financial Mathematics and Actuarial Sciences, TUM (2019)
• BSc in Business Mathematics, Ludwig Maximilians University Munich (2017)

Research Interests:

• Statistical model selection via Maximum Mean Discrepancy (MMD)
• Exchangeability and non-parametric Bayesian methods in survival analysis
• Inference for Lévy and stable processes
• Extreme value theory applications in risk modeling
• Machine learning techniques for statistical inference

Key Contributions:

• Developed distribution-free MMD tests for model selection with estimated parameters
• Advanced infinitely divisible priors for multivariate survival functions
• Applied generative neural networks to characteristic function estimation

Awards & Recognition: None explicitly listed.

Advising & Grants:

• Supervised 5 Master’s theses on topics including MMD-based model selection and clustering-based portfolio optimization
• Co-led industry project with WWK Versicherungen on risk assessment tools

Labs/Teams: Research Center for Statistics at University of Geneva.