Anastasia Ignatieva
I am an Associate Professor of Statistical Genomics at the Department of Statistics, University of Oxford,
and a Fellow of Somerville College.
Email: anastasia.ignatieva@stats.ox.ac.uk
Office: 2.06
Previously, I studied at Trinity College Dublin and the University of Edinburgh, and did my PhD on the Oxford-Warwick Statistics Programme. I was then a postdoc at the University of Oxford for two years, and a Lecturer in Statistics at the University of Glasgow for one year.
My research lies at the intersection of probability, statistics and computation, motivated by applications in genetics and focused on developing methods that help us understand aspects of evolution by analysing genomes. Specifically, I'm interested in reconstructing genealogies from large-scale sequencing data, and coming up with methods that use these genealogies for inference of evolutionary events and processes.
My CV.
If you are interested in doing a DPhil (PhD) in statistical methods applied to genetics, please consider applying to the DPhil programme at the Department of Statistics, or the StatML CDT, and feel free to get in touch if you have any questions or want to discuss your application. I don't have any funding for postdocs currently, but can give some advice on applying for postdoctoral fellowships to be held at the department.
Publications and preprints:
A. Ignatieva and Lino A. F. Ferreira. Phantom epistasis through the lens of genealogies.
[bioRxiv]
A. Ignatieva, M. Favero*, J. Koskela*, J. Sant* and S. R. Myers. The length of haplotype blocks and signals of structural variation in reconstructed genealogies.
[bioRxiv]
S. H. Zhan, A. Ignatieva*, Y. Wong*, K. Eaton, B. Jeffery, D. S. Palmer, C. L. Murall, S. P. Otto and J. Kelleher. Towards pandemic-scale ancestral recombination graphs of SARS-CoV-2.
[bioRxiv]
Y. Wong, A. Ignatieva*, J. Koskela*, G. Gorjanc, A. W. Wohns, J. Kelleher (2024). A general and efficient representation of ancestral recombination graphs. Genetics, 288(1): iyae100.
[Journal]
[bioRxiv]
E. Hayman, A. Ignatieva and J. Hein (2023). Recoverability of ancestral recombination graph topologies. Theoretical Population Biology, 154: 27-39.
[Journal]
[bioRxiv]
A. Ignatieva, J. Hein and P. A. Jenkins (2022). Ongoing recombination in SARS-CoV-2 revealed through genealogical reconstruction. Molecular Biology and Evolution, 39(2): msac028.
[Journal]
A. Ignatieva, R. B. Lyngsø, P. A. Jenkins and J. Hein (2021). KwARG: Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation. Bioinformatics, 37(19): 3277-3284.
[Journal][GitHub]
A. Ignatieva, J. Hein and P. A. Jenkins (2020). A characterisation of the reconstructed birth-death process through time rescaling. Theoretical Population Biology, 134: 61-76.
[Journal]
A. Ignatieva, A. F. Bell and B. J. Worton (2018). Point process models for quasi-periodic volcanic earthquakes. Statistics in Volcanology, 4(2): 1-27.
* denotes equal contribution