Forschungsschwerpunkte

  • Causal machine learning
  • Treatment effect estimation
  • Causal representation learning
  • Causal structure learning
  • Probabilistic modelling

Präsentationen

Causality Discussion Group, 01.02.2023

Präsentation und Diskussion des ICML 2022 Papers "Causal Transformer for Estimating Counterfactual Outcomes".

Akademischer Werdegang

M.Sc. Data Science, Ludwig-Maximilians-University of Munich

  • Master thesis on Conditional Normalizing Flows for Interpretability

B.Sc. System Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA)

  • Bachelor thesis on usage of LSTMs in human activity recognition problems