Associate Professor 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.
Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations.
Lauterbur ME. et al, (2023), eLife, 12
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
A unified genealogy of modern and ancient genomes
Wohns AW. et al, (2021)
Lessons Learned from Bugs in Models of Human History.
Ragsdale AP. et al, (2020), American journal of human genetics, 107, 583 - 588