Author

Benjamin Tenmann

BenevolentAI (United Kingdom)

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Abdullah M AthariD· 1 shared Agnieszka Dobrowolska· 1 shared Alice Del Vecchio· 1 shared Andrea Rodríguez MartíneziD· 1 shared Andrew AnighoroiD· 1 shared Bo WangiD· 1 shared Chantriolnt-Andreas KapouraniiD· 1 shared Cristian RegepiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperGenomics

Abdullah M AtharORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA

Alice Del Vecchio, Chantriolnt-Andreas Kapourani, Abdullah M Athar, Agnieszka Dobrowolska, Andrew Anighoro, Benjamin Tenmann, Lindsay Edwards, Cristian Regep

PatchDNA introduces a flexible, biologically-informed patching method for DNA sequences that outperforms tokenization in DNA benchmarks with smaller models.

bioRxiv · Nov 28, 2025 · PreprintGenomics

BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML

Henry E. Miller, Matthew Greenig, Benjamin Tenmann, Bo Wang

BioML-bench evaluates AI agents on end-to-end biomedical ML tasks across four domains, finding agents underperform compared to humans and diverse ML strategies correlate with higher scores.

bioRxiv · Sep 1, 2025 · PreprintBioinformatics

funkea: Functional Enrichment Analysis in Python

Benjamin Tenmann, Karina Close, Andrea Rodríguez Martínez, Sam Abujudeh

funkea provides a scalable Python tool for functional enrichment analysis in genetics using Spark, supporting pathway, cell-type, and tissue enrichment across annotation datasets.

bioRxiv · Aug 24, 2024 · PreprintBioinformatics