Author

Dominic Leo

University of Technology Sydney

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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Microbiology· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Diane McDougaldiD· 3 shared Gustavo Espinoza-VergaraiD· 3 shared Joyce ToiD· 3 shared M. Mozammel HoqueiD· 3 shared Gerard Weber· 2 shared Iain G. DugginiD· 2 shared Julie PryoriD· 2 shared Parisa NoorianiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

Diane McDougaldORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Co-dissemination of anti-phage defence systems and multidrug resistance is associated with the seventh-pandemic Vibrio cholerae defensome

M. Mozammel Hoque, Joyce To, Dominic Leo, Diane McDougald, Jyl S. Matson, Gustavo Espinoza-Vergara

This study analyzes 1,740 Vibrio cholerae genomes to show that anti-phage defence systems and multidrug resistance co-disseminate via mobile genetic elements, with non-O1 strains harboring more diverse defences and O1 strains showing stronger associations between defence systems and AMR.

bioRxiv · Jul 13, 2026 · PreprintMicrobiology

Prediction of symptomatic and asymptomatic bacteriuria in spinal cord injury patients using machine learning

M. Mozammel Hoque, Parisa Noorian, Gustavo Espinoza-Vergara, Joyce To, Dominic Leo, Priyadarshini Chari, Gerard Weber, Julie Pryor, Iain G. Duggin, Bonsan B. Lee, Scott A. Rice, Diane McDougald

This paper develops a machine learning framework to predict symptomatic and asymptomatic bacteriuria in spinal cord injury patients using microbiome data, achieving high accuracy in classification.

Microbiome · Nov 27, 2025Peer-reviewedMicrobiology

A model, mixed-species urinary catheter biofilm derived from spinal cord injury patients

Parisa Noorian, Kailey Hamann, M. Mozammel Hoque, Gustavo Espinoza-Vergara, Joyce To, Dominic Leo, Priyadarshini Chari, Gerard Weber, Obaydullah Marial, Julie Pryor, Iain G. Duggin, Bonsan Bonne Lee, Scott A. Rice, Diane McDougald

This study develops a mixed-species urinary catheter biofilm model from spinal cord injury patients to better understand and treat catheter-associated infections.

Biofilm · Nov 24, 2025Peer-reviewedMicrobiology