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  • Causal machine learning
  • Treatment effect estimation
  • Bayesian methods
  • Deep learning
  • Neural differential equations

Akademischer Werdegang

M.Sc. Statistik, Imperial College London

  • Focus on machine learning and Monte Carlo simulation
  • Thesis on a Neural Variational Bayes Factor Approximation in Gamma-Ray Searches for Dark Matter Annihilation

B.Sc. Mathematics, Johannes Gutenberg Universität Mainz

  • Focus on probability theory and numerical analysis
  • Thesis on The Error Exponent in Maximum-Likelihood Approximations with Distributions of First-Order Tree-Dependence