Author

Daniele Pessina

Imperial College LondonORCID 0009-0004-3107-6857Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alice GrobiD· 1 shared Carla BosiaiD· 1 shared Chiara Enrico BenaiD· 1 shared Francesca CeroniiD· 1 shared Jerry Y. Y. HengiD· 1 shared Maria M. PapathanasiouiD· 1 shared Mark IsalaniD· 1 shared Matthew Sood· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperSynthetic Biology

Alice GrobORCID

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2 papers

Recent·Most cited

BioengineeringDigital Chemical EngineeringPeer-reviewedFeb 16, 2026

Transfer Learning Assessment of Data-driven Crystallisation Processes via Constrained Neural Ordinary Differential Equations

Daniele Pessina, Wenqing Tian, Oliver L Watson…·Maria M. Papathanasiou

This paper assesses transfer learning for crystallisation modelling using constrained neural ODEs, showing improved generalisation and physical consistency in data-scarce scenarios.

DOI 10.1016/j.dche.2026.100292

deep learningcontrastive learning

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Synthetic BiologyNature CommunicationsPeer-reviewedJan 2, 2024

Mammalian cell characterisation by non-invasive plate reader assay

Alice Grob, Chiara Enrico Bena, Roberto Di Blasi…·Francesca Ceroni

This paper develops a non-invasive plate reader assay for high-throughput mammalian cell analysis, showing its applicability to different cell lines and conditions.

6 citations

experimental assay

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