Author

David Geoffrey Waterman

Rutherford Appleton LaboratoryORCID 0000-0002-2134-182XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

David McDonaghiD· 2 shared Adam D. CrawshawiD· 1 shared Callum D. OweniD· 1 shared D. HattoniD· 1 shared Daniel John RigdeniD· 1 shared Éilís C. BraggintoniD· 1 shared J. Pedro F. NunesiD· 1 shared Marko D. PetrovićiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBiophysics

David McDonaghORCID

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Author profile →

2 papers

Recent·Most cited

Automating 3DED data processing at eBIC

Marko D. Petrović, Callum D. Owen, David McDonagh, D. Hatton, Éilís C. Bragginton, J. Pedro F. Nunes, Adam D. Crawshaw, David Geoffrey Waterman

The paper introduces an automated data processing workflow for 3DED datasets using AutoED, converting data to NeXus format and reducing workload for electron diffraction scientists.

bioRxiv · Aug 1, 2026 · PreprintBiophysics

Predicting Protein Crystal Solvent Content from Patterson Maps Using Machine Learning

David McDonagh, Daniel John Rigden, David Geoffrey Waterman, Ronan M. Keegan

This study uses machine learning to predict protein crystal solvent content from Patterson maps, achieving over 50% error reduction compared to existing methods.

bioRxiv · Sep 24, 2025 · PreprintMolecular Biology