Dr. Sebastian Lobentanzer
Helmholtz AI Young Investigator Group
Accessible Biomedical AI Research
The Institute for Computational Imaging and AI in Medicine
Academic Career and Research Areas
Dr. Sebastian Lobentanzer trained as a pharmacist and completed a PhD in pharmacology and toxicology. He subsequently worked as a postdoctoral researcher at Heidelberg University Hospital and as a PI with Open Targets at the European Bioinformatics Institute (EMBL-EBI). Since 2025, he is a tenure-track research group leader at Helmholtz Munich and serves as Head of Computational Biology at the German Center for Diabetes Research.
Dr. Lobentanzer’s research focuses on developing accessible, robust, and interpretable artificial intelligence methods for biomedical discovery. Contemporary biomedicine generates vast and heterogeneous datasets, yet much of this information remains underutilised due to fragmentation and limited accessibility of computational methods. Sebastian’s work addresses this challenge by combining biomedical expertise with research software engineering to build digital infrastructure that makes biomedical workflows AI-ready. His main research interests include biomedical knowledge representation, epistemic robustness of agentic AI, and open, community-driven research software.
Key Publications (all publications)
Kuehl M et al.: "BioContextAI is a community hub for agentic biomedical systems". Nature Biotechnology. 2025
AbstractJarchow H et al.: "Benchmarking Large Language Models for Personalized and Biomarker-Based Intervention Recommendations". npj Digital Medicine. 2025
AbstractLobentanzer S et al.: "A platform for the biomedical application of large language models". Nature Biotechnology. 2025
AbstractLobentanzer S et al.: "Molecular causality in the advent of foundation models". Molecular Systems Biology. 2024
AbstractLobentanzer S et al.: "Democratizing knowledge representation with BioCypher". Nature Biotechnology. 2023
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