- 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.