Dr Jerome Kelleher
Contact information
Jerome Kelleher
BSc, PhD
Robertson Fellow; Group Leader in Biomedical Data Science
My research revolves around developing efficient algorithms to solve fundamental problems in genomics, and implementing these algorithms in production quality, open source software. This programme takes advantage of the unique structure of genetic data, combining theoretical population genetics with classical computer science. I lead development of tskit, a growing library of fundamental operations for population and statistical genomics with a welcoming open source community.
I am an advocate for the importance of software in research and a member of the UK Research Software Engineer Association.
Recent publications
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Demes: a standard format for demographic models
Journal article
KELLEHER J., (2022), Genetics
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Bayesian inference of ancestral recombination graphs
Journal article
KELLEHER J., (2022), PLOS Computational Biology
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A unified genealogy of modern and ancient genomes
Journal article
WONG HY. et al, (2022), Science
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Efficient ancestry and mutation simulation with msprime 1.0.
Journal article
Baumdicker F. et al, (2021), Genetics
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GA4GH: International policies and standards for data sharing across genomic research and healthcare.
Journal article
Rehm HL. et al, (2021), Cell genomics, 1