I develop bespoke statistical methods for public good. My group and I are particularly interested in novel Bayesian methods that harness information in viral deep sequence data, mobile phone mobility data, and time-resolved patient data to characterise the spread of infectious diseases, and to guide public health interventions.

We are involved in a number of multinational data-driven public health projects. I co-lead the Phylogenetics and Networks of Generalised HIV epidemics in Africa, and my group develops statistical methods to analyse HIV deep sequence data. I am a member of the Global Reference Group for children affected by COVID-19 and help develop methods to quantify the number of children who lost their parents or caregivers to COVID-19. My group works closely with Emodo Inc. to harness global mobile phone device data for public good. I am the lead statistician of the LONGVIEW study at the Rakai Health Sciences Program. We are affiliated with the HIV transmission elimination initiative Amsterdam and have joined forces for a future with no new HIV infections.