About

Profile

PhD in economics (Dr. rer. pol., summa cum laude) with a background in mathematics (M.Sc., University of Göttingen). Research at the intersection of Operations Research, multi-criteria decision analysis (MCDA), and machine learning.

Current position

Since December 2023, Data Scientist at 1&1 Telecommunication SE within Finance Analytics. Responsible for the design and monitoring of machine learning models for credit application screening (credit risk and fraud detection), covering the full pipeline from data quality through algorithmic scaling to model governance.

Research interests

  • Multi-criteria decision analysis (MCDA): PROMETHEE family of outranking methods and their properties.
  • Multi-criteria portfolio decisions under conflicting objectives and ambiguous preferences.
  • Interdisciplinary applications: sustainable port logistics through peptide selection in vaccine research.
  • Machine Learning models for fraud detection and credit risk.

Academic background

  • 2017–2023 — PhD (Dr. rer. pol., summa cum laude) at the University of Duisburg-Essen, supervised by Prof. Dr. Jutta Geldermann. Thesis: Multi-criteria portfolio decisions for selecting measures to enhance sustainability in container terminals.
  • 2013–2015 — M.Sc. Mathematics, Georg-August University of Göttingen (focus: optimisation and Operations Research).
  • 2009–2013 — B.Sc. Mathematics, Georg-August University of Göttingen.

Research visits at the Department of Systems Engineering and Engineering Management, City University of Hong Kong (2018, 2019).

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