Alexander Marx
Scholar

Alexander Marx

Google Scholar ID: fJ9u_woAAAAJ
TU Dortmund
CausalityCausal DiscoveryInformation TheoryRepresentation Learning
Citations & Impact
All-time
Citations
667
 
H-index
16
 
i10-index
16
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • - Publications: Papers published in top conferences such as NeurIPS, TMLR, XAI, etc.
  • - Awards: Multiple Top Reviewer Awards (e.g., AISTATS'22, AISTATS'23, NeurIPS'23)
  • - Projects: Involved in various research projects, including predicting nocturnal hypoglycemia risk in children, pediatric glucose forecasting, etc.
Research Experience
  • - Professor at TU Dortmund, leading the Causality group
  • - Postdoctoral Researcher at the Computational Biology Group, ETH Zürich
  • - Postdoc-Fellow at the ETH AI Center
  • - Member of the Medical Data Science Group
Education
  • - Ph.D.: Completed in the Exploratory Data Analysis group affiliated with the CISPA Helmholtz Center for Information Security and the Max Planck Institute for Informatics.
Background
  • - Research Interests: Intersection of causality and machine learning, focusing on causal discovery, causal representation learning, information theory, and Bayesian deep learning
  • - Professional Field: Statistics, Data Science
  • - Brief Introduction: Professor at TU Dortmund, leading the Causality group, researching trustworthy data science and security, and a member of the ELLIS society.
Miscellany
  • - Personal Interests: Not provided