Published several papers, such as 'Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models'; received the Google Scholar Award; served as Chair for Diversity and Inclusion at ECML'24 Conference.
Research Experience
Previously worked on fairness, explainability, privacy, and causality in machine learning; currently at CISPA Helmholtz Center for Information Security, focusing on ethical and social aspects in LLM and multi-agent systems.
Education
Specific educational background information not provided
Background
Postdoctoral researcher in AI Ethics and Safety; background includes Social Anthropology and Computer Science; research interests cover AI fairness, causality, large language models, and their social dimensions.
Miscellany
Personal interests and other details not extensively mentioned