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
Tracing the evolutionary histories of ultra-rare variants using variational dating of large ancestral recombination graphs.
Journal article
Pope NS. et al, (2026), bioRxiv
On ARGs, pedigrees, and genetic relatedness matrices.
Journal article
Lehmann B. et al, (2026), Genetics, 232
Likelihoods for a general class of ARGs under the SMC.
Journal article
Bisschop G. et al, (2026), Genetics, 232
est is more than its trees: haplotypes and ancestral recombination graphs.
Journal article
Fritze H. et al, (2026), Genetics, 232
ccessible, Realistic Genome Simulation with Selection Using stdpopsim.
Figure
Gower G. et al, (2025)