Author

Jacob Moss

University of CambridgeORCID 0000-0003-1555-7306Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:protein design· 1

Frequent Co-Authors

Daniel Boros· 1 shared Dennis SchwartziD· 1 shared Dominic HalliD· 1 shared Elie Patel· 1 shared Elliot J. Medcalf· 1 shared Florian HollfelderiD· 1 shared Francesco G. MuttiiD· 1 shared Friederike E. H. NintzeliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSynthetic Biology

Daniel Boros

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintOct 27, 2026

Scaling a context-aware genomic model for condition-specific edit design in plants

Paride Antinucci, Linfeng Wang, Jacob Moss…·Dominic Hall

CROP-1 predicts gene activity based on DNA sequence and regulatory state, enabling context-specific edit design in plants with higher accuracy than sequence-only models.

DOI 10.64898/2026.10.23.761389

plant (other)DNA methylation

𝕏 PostBluesky

Synthetic BiologybioRxivPreprintApr 8, 2024

Microdroplet screening rapidly profiles a biocatalyst to enable its AI-assisted engineering

Maximilian Gantz, Simon V. Mathis, Friederike E. H. Nintzel…·Florian Hollfelder

The paper combines microfluidic screening with machine learning to rapidly engineer biocatalysts, achieving 23-fold improvement in catalytic efficiency through sequence-function mapping.

18 citations

machine learning (classical)protein design

𝕏 PostBluesky