Author

Georgia Williams

King Abdullah University of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Danesh MoradigaravandiD· 2 shared Huda AhmadiD· 2 shared Manuel BanzhafiD· 2 shared Adam J. HartiD· 1 shared Chris LB GrahamiD· 1 shared David C. GraingeriD· 1 shared Felipe CavaiD· 1 shared Ge Zhou· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersSystems Biology

Danesh MoradigaravandORCID

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2 papers

Recent·Most cited

Systematic chemical genomic screening of Vibrio cholerae maps gene-phenotype relationships

James R. J. Haycocks, Huda Ahmad, Micheal B. Alao, Georgia Williams, Susan Sutherland, Chris LB Graham, Laura Álvarez, Prateek Sharma, Patrick Joseph Moynihan, Felipe Cava, David C. Grainger, Danesh Moradigaravand, Manuel Banzhaf

This study uses chemical genomics to identify gene-phenotype relationships in Vibrio cholerae by screening 104 stress conditions across 3,026 single-gene mutants, revealing 1,518 significant growth phenotypes including 88 unannotated genes.

bioRxiv · Aug 19, 2026 · PreprintSystems Biology

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

Ge Zhou, Georgia Williams, Mathew T. Millner, Raneem AlHirayban, Wejdan Alosaimi, Omniya Fallatah, Adam J. Hart, Mohammed Malaikah, Sara Iftikhar, Huda Ahmad, Mohammad Roghanian, Ville Mustonen, Rfeef Alyami, Manuel Banzhaf, Danesh Moradigaravand

This paper characterizes genome-environment interactions in Klebsiella pneumoniae using chemical genomics and machine learning to predict fitness across diverse conditions.

medRxiv · May 30, 2026 · PreprintGenetic & Genomic Medicine