Our Team (and friends)
Prof. Chris Creevey
Professor of Computational Biology at the Institute for Global Food Security, Queen's University Belfast. His main interests are identifying the genomic factors influencing phenotypic changes in organisms from Bacteria to Eukaryotes with a focus on animal microbiomes. He received his Ph.D. in 2002 from the National University of Ireland for his work in the area of phylogenetics and comparative genomics, and has since held positions at NUI Maynooth, EMBL Heidelberg, Teagasc Ireland, and Aberystwyth University.
Dr. Lucy Dillon
Postdoctoral researcher in the Creevey Lab. Research interests and further details to be added.
Dr. Peter Eze
Background in microbiology, biotechnology, and natural products research. Current research focuses on antimicrobial resistance, antimicrobial drug discovery, and phage therapy.
Dr. James Gillespie
PhD in Machine Learning, with experience ranging from reinforcement learning to transformer-based models. Current research focuses on developing machine learning tools for the Co-Centre for Sustainable Food Systems, with additional interests in machine learning for genomics.
Katie Magill
PhD student in the Creevey Lab, funded by FoodBiosystems. Project details to be added.
Emmet Campbell
PhD student working on a DSTL-funded project in microbial genomics.
John-Paul Wilkins
Researching ruminant microbiomes as part of the HoloRuminant project. Developing tools (CowPI) to integrate and synergise metataxonomic and metagenomic data, linking microbiome structure to phenotypes.
James Barnard
PhD researcher in the Creevey Lab. Research project details to be added.
Jordan Young
PhD researcher in the Creevey Lab. Research project details to be added.
Fatemeh Rajaei Nesheli
PhD researcher in the Creevey Lab. Research project details to be added.
Ethan Gorman
MSci student in the Creevey Lab. Project details to be added.
Interested in Joining the Lab?
We welcome motivated researchers at all career stages. Contact Prof. Creevey to discuss current opportunities in computational biology, bioinformatics, and microbial genomics.
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