About

I am a Robertson Fellow in Biomedical Data Science at the Big Data Institute, University of Oxford. I develop algorithms and software to tackle difficult problems in large-scale genomics, integrating with the Python data science stack.


Contact

Email jerome.kelleher@bdi.ox.ac.uk
Me at the BDI

Jerome Kelleher

GitHub @jeromekelleher
Twitter @jeromekelleher
Orcid orcid.org/0000-0002-7894-5253
Google Scholar profile

Address:

Dr Jerome Kelleher
Big Data Institute
Li Ka Shing Centre for Health Information and Discovery
Old Road Campus
Oxford
OX3 7LF
UK

Activities


CV Sketch

2019-present
Robertson Fellowship in Biomedical Data Science at the Big Data Institute, University of Oxford.
2014-2019
Senior statistical programmer in the McVean Group at the Big Data Institute (and formerly at the Wellcome Centre for Human Genetics), University of Oxford.
2008-2014
Postdoc, primarily at the Institute of Evolutionary Biology, University of Edinburgh and also at the Department of Statistics, University of Oxford.
2005-2008
Seniour Software Architect, MPSTOR.
2002-2005
PhD Computer Science, University College Cork (thesis).
1998-2002
BSc Computer Science, University College Cork.

Book Chapters

Jerome Kelleher and Konrad Lohse. Coalescent simulation with msprime. Chapter 9 in Statistical Population Genomics, 2020. link

Jerome Kelleher and Gil McVean. Linkage Disequilibrium, Recombination and Haplotype Structure. Chapter 2 in Handbook of Statistical Genomics, 2019. link

Publications

Dominic Nelson, Jerome Kelleher, Aaron P. Ragsdale, Claudia Moreau, Gil McVean and Simon Gravel. Accounting for long-range correlations in genome-wide simulations of large cohorts. PLOS Genetics 16(5): e1008619, 2020. link

Peter Ralph, Kevin Thornton and Jerome Kelleher. Efficiently Summarizing Relationships in Large Samples: A General Duality Between Statistics of Genealogies and Genomes. Genetics, 2020. link

Jerome Kelleher, Yan Wong, Anthony W. Wohns, Chaimaa Fadil, Patrick K. Albers and Gil McVean. Inferring whole-genome histories in large population datasets. Nature Genetics, 51:1330–1338, 2019. link

Benjamin C. Haller, Jared Galloway, Jerome Kelleher, Philipp W. Messer and Peter L. Ralph. Tree‐sequence recording in SLiM opens new horizons for forward‐time simulation of whole genomes. Molecular Ecology Resources, 19:552–566, 2019. link

Jerome Kelleher, Kevin R. Thornton, Jaime Ashander and Peter L. Ralph. Efficient pedigree recording for fast population genetics simulation. PLoS Computational Biology, 14(11): e1006581, 2018. link

Björn Grüning, Ryan Dale, Andreas Sjödin, Brad A. Chapman, Jillian Rowe, Christopher H. Tomkins-Tinch, Renan Valieris, Johannes Köster and Bioconda Team. Bioconda: sustainable and comprehensive software distribution for the life sciences. Nature Methods, 15(7):475-476, 2018. link

Jerome Kelleher, Mike Lin, CH Albach, Ewan Birney, Robert Davies, Marina Gourtovaia, David Glazer, Cristina Y Gonzalez, David K Jackson, Aaron Kemp, John Marshall, Andrew Nowak, Alexander Senf, Jaime M Tovar-Corona, Alexander Vikhorev, Thomas M Keane, and GA4GH Streaming Task Team. htsget: a protocol for securely streaming genomic data, Bioinformatics 2018. link

Jerome Kelleher, Alison M. Etheridge and Gilean McVean. Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes. PLoS Computational Biology, Volume 12, May 2016, e1004842. link

Jerome Kelleher, Alison M. Etheridge, Amandine Véber and Nicholas H. Barton. Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology, Volume 108, April 2016, Pages 1–12. link

Jerome Kelleher, Alison M. Etheridge and Nicholas H. Barton. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology, Volume 95, August 2014, Pages 13–23. link

Jerome Kelleher, Rob W. Ness and Daniel L. Halligan. Processing genome scale tabular data with wormtable. BMC Bioinformatics, 14:356, 2013. link

Jerome Kelleher, Nicholas H. Barton and Alison M. Etheridge. Coalescent simulation in continuous space. Bioinformatics, Volume 29, Issue 7, pp. 955-956, 2013. link

Nicholas H. Barton, Alison M. Etheridge, Jerome Kelleher and Amandine Véber. Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology, Volume 87, August 2013, Pages 105–119. link

Nicholas H. Barton, Alison M. Etheridge, Jerome Kelleher and Amandine Véber. Genetic hitchhiking in spatially extended populations. Theoretical Population Biology, Volume 87, August 2013, Pages 75–89. link

Nicholas H. Barton, Jerome Kelleher and Alison M. Etheridge. A new model for extinction and recolonisation in two dimensions: quantifying phylogeography. Evolution, Volume 64, Issue 9, pp 2701-2715, 2010. link

Konrad Lohse and Jerome Kelleher. Measuring the degree of starshape in genealogies --- summary statistics and demographic inference. Genetics Research, Volume 91, Issue 04, pp 281-292, 2009. link

William Opperman and Jerome Kelleher. A Data Storage System, International Patent WO/2008/007348, 2008. link

Jerome Kelleher. Encoding Partitions as Ascending Compositions. PhD thesis, University College Cork, 2006. pdf

Jerome Kelleher and Derek Bridge. An Accurate and Scalable Collaborative Recommender. Artificial Intelligence Review, Volume 21, Issue 3-4, pp.193-213, 2004. link

Stefano Bistarelli, Jerome Kelleher and Barry O'Sullivan. Tradeoff Generation using Soft Constraints, Recent Advances in Constraints, Springer, LNAI 3010 2004. link

Jerome Kelleher and Barry O'Sullivan. Evaluation-Based Semiring Meta-Constraints. Proceedings of MICAI, Springer, LNCS 2972 Mexico, 2004. pdf

Jerome Kelleher and Derek Bridge. RecTree Centroid: An Accurate, Scalable Collaborative Recommender. Proceedings of AICS, Trinity College, Dublin, pp.89-94, 2003. pdf

Stefano Bistarelli, Jerome Kelleher and Barry O'Sullivan. Symmetry Breaking in Soft CSPs. Proceedings of AI-2003, Springer, Cambridge, UK, 2003. pdf

Jerome Kelleher and Barry O'Sullivan. Evaluation-Based Semiring Meta-Constraints. Proceedings of AICS-2003, Poster Paper, Dublin, Ireland, 2003.

Jerome Kelleher and Barry O'Sullivan. Optimising the Representation and Evaluation of Semiring Combination Constraints. Principles and Practice of Constraint Programming - CP2003, LNCS, 2003.

Derek Bridge and Jerome Kelleher. Experiments in Sparsity reduction: Using Clustering in Collaborative Recommenders. Proceedings of AICS-2002, LNAI 2464, Springer, pp.144-149, 2002. pdf

Preprints

Jerome Kelleher. The large-parts formula for p(n). arXiv, 1002.1458, 2010 link

Jerome Kelleher and Barry O'Sullivan. Generating All Partitions: A Comparison Of Two Encodings. arXiv, 0909.2331, 2009 link