During my PhD, I have been investigating the heritability of virulence in HIV. Though the influences of many host
and environmental factors on viral load are well understood, the role of the viral genome itself in determining viral
load is less clear.
I have adapted a well-established method from population genetics to more accurately estimate the heritability of viral load
using a phylogeny of viral sequences. This method enables analysis on incredibly large datasets, and I have investigated the
viral genetic contribution to viral load in subtypes B and C in the UK HIV epidemic, using 8,483 and 1,821 sequences, respectively.
I have also recently started my post-doctoral position as part of the PANGEA_HIV initiative, funded by the Bill and Melinda Gates Foundation. I have created a stochastic, agent-based
model (DSPS-HIV) that simulates HIV epidemics, which I've used to generate data sets that can be used to assess phylogenetic methods.
Disease stage and transmission risk are dependant on viral load, and contact networks are highly customizable.
Prior to starting my PhD, I participated in research on: