Dr Diepreye Ayabina

Post-Doctoral Research Associate

I studied for my undergraduate and Masters studies at the Federal University of Technology Owerri and University of Leeds respectively, where I studied Mathematics and Computer Science.  I moved on to study for my PhD at Imperial College London. During my PhD studies I worked on studying competition and diversity in Mycobacterium tuberculosis using two main approaches: analysis of mathematical models of sub-populations of M. tuberculosis and genomic analysis of its sequence data. 

I work on modelling heterogeneity in susceptibility to tuberculosis, fit such models to data  and make predictions about the impact of interventions. 

I also work on modelling  competition of pathogen strains in a heterogeneous population.


Selected publications

  • Competition, coinfection and strain replacement in models of Bordetella pertussis.
    Theor Popul Biol. 2015 Aug;103:84-92. doi: 10.1016/j.tpb.2015.05.003. Epub 2015 May 30.
    Diverse drug-resistant subpopulations of Mycobacterium tuberculosis are sustained in continuous culture. Journal of the royal society interface. November 2016
    Estimating Transmission from Genetic and Epidemiological Data: A Metric to Compare Transmission Trees. Statist. Sci. Volume 33, Number 1 (2018), 70-85.
    Convergent evolution and topologically disruptive polymorphisms among multidrug-resistant tuberculosis in Peru. PLOS ONE, December 2017.