Forschungsschwerpunkte

  • Machine learning for decision support in sustainability and global development
  • Applications in corporate ESG reporting, development finance, and SDG forecasting
  • LLMs, retrieval-augmented generation, and NLP
  • Time series forecasting
  • Causal machine learning

Akademischer Werdegang

M.Sc. Elektrotechnik und Informationstechnik, Technische Universität München

  • Thesis Improving the Prediction of Build Results in Continuous Integration Using Large Language Models

B.Sc. Elektrotechnik und Informationstechnik, Technische Universität München

  • Thesis A Comprehensive Approach to the Virtual Application of Brake Control Systems in Passenger Vehicles Based on Artificial Intelligence