Author

Mihaela van der Schaar

University of CambridgeORCID 0000-0003-3933-6049Unclaimed 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 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

Anthony R BradleyiD· 1 shared Benjamin EricksoniD· 1 shared Charlotte Mary DeaneiD· 1 shared David L. BentleyiD· 1 shared Fergus ImrieiD· 1 shared Nicolas Huynh· 1 shared Nova Fong· 1 shared Ryan M. SheridaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Anthony R BradleyORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintSep 22, 2026

AI discovery of sequence rules for RNA polymerase II pausing revises the pause-release model of gene activation

Nova Fong, Nicolas Huynh, Benjamin Erickson…·David L. Bentley

The paper uses AI to discover sequence rules for RNA polymerase II pausing, challenging the pause-release model of gene activation by showing pausing is not required for certain activation responses.

DOI 10.64898/2026.09.18.752771

ChIP-seqmachine learning (classical)

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedMar 20, 2020

Deep Generative Models for 3D Compound Design

Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, Charlotte Mary Deane

This paper introduces DeLinker, a 3D graph-based generative model for compound design that outperforms baselines by incorporating structural information.

262 citationstop 1%

deep learninggraph neural network

𝕏 PostBluesky