Anastasia Ignatieva


I am a postdoc at the Oxford Department of Statistics, working with Simon Myers. Previously, I studied Mathematics as an undergraduate at Trinity College Dublin, and got an MSc in Statistics and Operational Research at the University of Edinburgh. Between 2018 and 2021, I was a PhD student on the Oxford-Warwick Statistics Programme (OxWaSP).

I work on population genetics. My research lies at the intersection of probability, statistics and computation, seeking to develop genealogy-based methods and tools that help us understand the evolution of biological organisms by analysing sequencing data.

My CV.

Email: anastasia.ignatieva@stats.ox.ac.uk


Publications and preprints:

E. Hayman, A. Ignatieva and J. Hein. Recoverability of ancestral recombination graph topologies.
[bioRxiv][arXiv]

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][bioRxiv][GitHub]

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][arXiv][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][arXiv]

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.


I organised the Research Students' Conference in Population Genetics, which took place at Warwick in July 2021.

I was awarded the Cecil King Travel Scholarship, and visited the University of California, Berkeley, in spring 2022.

I am currently participating in the Stochastic modelling in the life sciences Junior Trimester Programme at the Hausdorff Research Institute for Mathematics (University of Bonn), until August 2022.