Author

Luis Herrmann

Berlin Institute of Health at Charité - Universitätsmedizin Berlin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Benjamin WildiD· 2 shared Fabian Joachim TheisiD· 2 shared Julius Upmeier zu BelzeniD· 2 shared Lucas ArnoldtiD· 2 shared Roland EilsiD· 2 shared Hannah SchmidtiD· 1 shared Jakob SteinfeldtiD· 1 shared Khue M. Nguyen· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Benjamin WildORCID

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2 papers

Recent·Most cited

An interpretable omnigenic neural network architecture for the human genome

Julius Upmeier zu Belzen, Lucas Arnoldt, Noah Hollmann, Luis Herrmann, Khue M. Nguyen, Leonard Eckhoff, Leonhard Kohleick, Sedra Abou Ghaloun, Hannah Schmidt, Stefan Hegselmann, Fabian Joachim Theis, Thore Buergel, Jakob Steinfeldt, Benjamin Wild, Roland Eils

The paper introduces an interpretable neural network architecture for genomic prediction, outperforming existing methods in disease risk prediction and capturing non-linear genetic interactions.

medRxiv · Jul 31, 2026 · PreprintGenetic & Genomic Medicine

Biologically Informed Variational Inference Enables Interpretable Cell Phenotyping and Discovery

Lucas Arnoldt, Julius Upmeier zu Belzen, Luis Herrmann, Khue P. Nguyen, Naveed Ishaque, Fabian Joachim Theis, Benjamin Wild, Roland Eils

NetworkVI integrates multi-omics data using a biologically informed variational autoencoder, enabling interpretable cell phenotyping and discovery of lineage-specific immune states.

bioRxiv · Jun 10, 2025 · PreprintBioinformatics