Author

Caroline Koch

Imperial College LondonORCID 0000-0002-8077-7340Unclaimed 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:cell type annotation· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Aleksandar P. IvanoviD· 2 shared Joshua B. EdeliD· 2 shared Christopher W. DunsbyiD· 1 shared Daniel MarksiD· 1 shared David Newman· 1 shared Edwin GarcíaiD· 1 shared Hasan MirzaiD· 1 shared Iain A. McNeishiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiophysics

Aleksandar P. IvanovORCID

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2 papers

Recent·Most cited

BiophysicsSmall MethodsPeer-reviewedJan 19, 2026

Machine Learning-Driven Nanopore Sensing for Quantitative, Label-Free miRNA Detection

Caroline Koch, Seshagiri Sakthimani, Victoria Maria Noakes…·Aleksandar P. Ivanov

This paper develops a nanopore-based assay with machine learning for label-free miRNA detection, showing that a CNN outperforms traditional methods in sensitivity and classification.

3 citations

deep learningstatistical model

𝕏 PostBluesky

Cancer BiologyCell Reports MethodsPeer-reviewedDec 30, 2025

Assessing PARP trapping dynamics in ovarian cancer using a CRISPR-engineered FRET biosensor

Daniel Marks, Edwin García, Sunil Kumar…·Iain A. McNeish

This paper develops a CRISPR-engineered FRET biosensor to study PARP trapping dynamics in ovarian cancer cells and identifies reduced trapping in PARPi-resistant models.

2 citations

humanfluorescence / live-cell microscopy

𝕏 PostBluesky