Author

Olivia J. Ogilvie

University of CanterburyORCID 0000-0002-6670-9077Unclaimed 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:benchmarking· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Craig William HerboldiD· 2 shared Haig V. BishopiD· 2 shared Renwick C. J. DobsoniD· 2 shared Amy C. RowatiD· 1 shared Cameron SemperiD· 1 shared Caroline Kolta· 1 shared Dan Blaustein‐RejtoiD· 1 shared Isaac R. EmeryiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Craig William HerboldORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A proposed framework for evaluating meat alternatives

Cameron Semper, Caroline Kolta, MJ Kinney, Jordan Giali, Michaella Rogers, Dan Blaustein‐Rejto, Amy C. Rowat, Olivia J. Ogilvie, Ryan Hutmacher, Josephine Wee, Isaac R. Emery, Laura J. Domigan, Kantha Shelke

This paper proposes a framework to evaluate meat alternatives by assessing their structural, nutritional, and organoleptic properties, safety, and environmental and economic benefits.

Future Foods · May 5, 2026Peer-reviewedBioengineering

The Celiac Microbiome Repository (CMR): A Curated Collection of Celiac Disease Gut Microbiome Sequencing Data

Haig V. Bishop, Peter J. Prendergast, Craig William Herbold, Renwick C. J. Dobson, Olivia J. Ogilvie

The paper curates and harmonizes celiac disease gut microbiome sequencing data into a repository to enable large-scale analysis and machine learning applications.

bioRxiv · Mar 31, 2026 · PreprintBioinformatics

Micro16S: Universal Phylogenetic 16S rRNA Gene Representations for Deep Learning of the Microbiome

Haig V. Bishop, Craig William Herbold, Renwick C. J. Dobson, Olivia J. Ogilvie

Micro16S uses phylogenetic embeddings to improve microbiome deep learning, showing taxonomic clustering and region invariance but limited performance in classification tasks.

bioRxiv · Mar 24, 2026 · PreprintBioinformatics