Author

Khodor S. Hazime

Imperial College LondonORCID 0000-0001-5125-2011Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Daniel M. DavisiD· 2 shared A. Lopez Garcia· 1 shared Cathal HostyiD· 1 shared Daniel J. NievesiD· 1 shared David J. WilliamsoniD· 1 shared Dylan M. OweniD· 1 shared Ezra BruggemaniD· 1 shared Fan-Xin SongiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

Daniel M. DavisORCID

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2 papers

Recent·Most cited

A Bayesian framework reveals heterogeneous and stochastic decision-making in NK cell cytotoxicity

Fan-Xin Song, Cathal Hosty, Khodor S. Hazime, Leanne Peiser, Lara P. Stepan, Daniel M. Davis, Rubén Perez‐Carrasco

This study develops a Bayesian framework to analyze NK cell cytotoxicity and identifies distinct mechanisms underlying variability in killing responses.

bioRxiv · Sep 22, 2026 · PreprintImmunology

Nano-org, a functional resource for single-molecule localisation microscopy data

Sandeep Shirgill, Daniel J. Nieves, Jeremy Andrew Pike, Mahmoud A. Ahmed, H. Abbott, Mohammed Baragilly, Kylie Savoye, Jonathan D. Worboys, Khodor S. Hazime, Ezra Bruggeman, A. Lopez Garcia, David J. Williamson, Patrick Rubin‐Delanchy, Ruby Peters, Daniel M. Davis, , Dylan M. Owen

Nano-org provides a curated resource of single-molecule localisation microscopy data for studying protein nanoscale distributions and their relationships across cell types and conditions.

Nature Communications · Sep 30, 2025Peer-reviewedBiophysics