Forschungsschwerpunkte

  • Causal machine learning
  • Treatment effect estimation
  • Longitudinal data analysis
  • Causal representation learning
  • Deep learning

Akademische Aktivitäten

  • Program Commitee: UAI 2023

Präsentationen

Causal Data Science Meeting 2022, 08.11.2022

Präsentation zum Thema "Causal Machine Learning for Algorithmic Fairness".

Akademischer Werdegang

M.Sc. Mathematics, University of Göttingen

  • Focus on mathematical statistics with minor courses in applied statistics, machine learning and applied mathematics
  • Master thesis on statistical inference based on optimal transport for protein alignment

B.Sc. Mathematics, University of Hamburg

  • General studies in pure and applied mathematics
  • Minor subject: physics