Dr Jerome Kelleher
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.
Demes: a standard format for demographic models
KELLEHER J., (2022), Genetics
Bayesian inference of ancestral recombination graphs
KELLEHER J., (2022), PLOS Computational Biology
A unified genealogy of modern and ancient genomes
WONG HY. et al, (2022), Science
Efficient ancestry and mutation simulation with msprime 1.0.
Baumdicker F. et al, (2021), Genetics
GA4GH: International policies and standards for data sharing across genomic research and healthcare.
Rehm HL. et al, (2021), Cell genomics, 1