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Anastasia Ignatieva

I am now a postdoc at the Department of Statistics, University of Oxford, working with Simon Myers. My Oxford webpage is here.

Between 2018 and 2021, I was a PhD student in the OxWaSP CDT, supervised by Paul Jenkins (Warwick) and Jotun Hein (Oxford).

My interests lie at the intersection of statistics, probability theory and computation, applied to problems arising within population genetics. My research focuses on developing and applying genealogy-based models, methods and computational tools to gain insights into the evolution of organisms from genetic sequencing data. I am interested in understanding the properties of stochastic models describing the dynamics of a given population, and using these models for inference of biological parameters.

Prior to my PhD, I completed an undergrad in Mathematics at Trinity College Dublin, followed by an MSc in Statistics and Operational Research at the University of Edinburgh.

I organised the Research Students' Conference in Population Genetics, held at Warwick on 21-23 July 2021.

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

Publications and preprints

E. Hayman, A. Ignatieva and J. Hein. Recoverability of ancestral recombination graph topologies.

A. Ignatieva, J. Hein and P. A. Jenkins. Ongoing recombination in SARS-CoV-2 revealed through genealogical reconstruction.

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.

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.

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.