Scholar
David B. Blumenthal
Google Scholar ID: B3DmHU4AAAAJ
Friedrich-Alexander University Erlangen-Nürnberg
Citations & Impact
Citations
1,611
H-index
21
i10-index
36
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Published a paper in ISMB 2025 proceedings on the performance boost of deep learning models for sequence-based PPI prediction using ESM-2 embeddings.
- 2. Published a paper in Bioinformatics on the R tool KINference for inferring differential kinase interaction networks.
- 3. Published a paper in Nature Communications on the DataSAIL algorithm and Python package for leakage-reduced data splitting.
- 4. Published a paper in eLife on the emergence of power-law distributions in protein-protein interaction networks through study bias.
- 5. Published a paper in NPJ Systems Biology and Applications on spatial cell graph analysis to reveal skin tissue organization characteristic for cutaneous T cell lymphoma.
Research Experience
- Works at the Biomedical Network Science Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU).
Background
- Research interests include molecular disease mechanisms, network science, combinatorial optimization, and artificial intelligence. Develops algorithms and tools to mine multi-omics data for such mechanisms and to identify novel strategies for mechanistically grounded drug repurposing and causally effective treatments of complex diseases. Also develops privacy-preserving decentralized biomedical AI solutions, enabling cross-institutional studies on sensitive data. Interested in meta-scientific questions such as reproducibility and the impact of data bias on biomedical AI systems.
Miscellany
- Contact Information:
- - Email: david.b.blumenthal@fau.de
- - Twitter: @davidbblumenthal
- - LinkedIn: David B. Blumenthal's page
- - GitHub: David B. Blumenthal's page
- - Google Scholar: David B. Blumenthal's page
- - ORCID: David B. Blumenthal's page
- - Research Gate: David B. Blumenthal's page
Co-authors