About
Moritz Staudinger is a PreDoc Researcher at the Data Science department of Technische Universität Wien. His research focuses on reproducibility in machine learning and information retrieval, with particular emphasis on query generation, data citation, and evolving database schemas.
- Current projects: FAIR-AI (2024–2026), HumRec (2021–2025), and DoSSIER (2019–2024)
- Collaborations: Works with Andreas Hanbury, Andreas Rauber, and others
Research interests include large language models for scientific applications, temporal information retrieval, and FAIR data principles. His recent publications examine reproducibility challenges across machine learning, systematic literature reviews, and environmental data management.
Supervisions: Mentors students working on topics like data sovereignty, multilingual fact-checking, and quality indicators for data management plans. Collaborates on the DBRepo semantic repository framework.
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