Author

Théodore De Pomereu

The Francis Crick InstituteORCID 0009-0009-9197-8795Unclaimed 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:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Fabian FröhlichiD· 2 shared Branwen SnellingiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersSystems Biology

Fabian FröhlichORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintSep 28, 2026

GEMOT: Towards Mechanistic World Models for Biology

Théodore De Pomereu, Branwen Snelling, Fabian Fröhlich

This paper introduces GEMOT, a framework for mechanistic world modeling in biology, which autonomously constructs models that match or exceed reference models in fit and parsimony across diverse biological problems.

DOI 10.64898/2026.09.26.754619

experimental assaybenchmarking

𝕏 PostBluesky

Systems BiologybioRxivPreprintAug 21, 2026

Symbolic regression enables coarse-grained model discovery of intracellular signalling dynamics

Théodore De Pomereu, Fabian Fröhlich

This paper uses symbolic regression to discover compact models of intracellular signaling dynamics, showing it can recover known kinetics and identify interpretable rate laws in cancer-relevant contexts.

DOI 10.64898/2026.08.20.745973

statistical modelgene regulatory network inference

𝕏 PostBluesky