Author

John St John

Nvidia (United States)

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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Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aaron W. KollaschiD· 1 shared Alexandros Papadopoulos· 1 shared Ali Taghibakhshi· 1 shared Alicia Frame· 1 shared Anna Rychkova· 1 shared Anne M. Bara· 1 shared Anthony Beardsworth CostaiD· 1 shared Birkan GökbağiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Aaron W. KollaschORCID

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Author profile →

2 papers

Recent·Most cited

Interpretable gene networks from single-cell foundation models reveal conserved neurogenic dysfunction in Parkinson's disease

Jun Yin, Maya L. Gosztyla, Birkan Gökbağ, Anna Rychkova, Isabel V. L. Wilkinson, John St John, Vega Shah, Sarah Nickels, Jens Christian Schwamborn, Robert T. Fremeau

The paper introduces scGENet, a framework to generate interpretable gene networks from single-cell foundation models, revealing conserved neurogenic dysfunction in Parkinson's disease.

bioRxiv · Jul 27, 2026 · PreprintNeuroscience

Designing AI-programmable therapeutics with the EDEN family of foundation models

Geraldene Munsamy, Gavin Ayres, Carla Greco, Keith Y K Kam, Gus Minto-Cowcher, John St John, Tanggis Bohnuud, Matthew H. Bakalar, William Chow, Robert J. Pecoraro, Marcelo D. T. Torres, Aaron W. Kollasch, Marcus H. Y. Leung, Hassan Sirelkhatim, Francesco Farina, , Philipp Lorenz

This paper introduces the EDEN family of foundation models for AI-programmable therapeutic design, demonstrating their ability to generate functional gene insertions, antibiotic peptides, and synthetic microbiomes.

bioRxiv · Feb 9, 2026 · PreprintGenomics