Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Sumali Bajaj

Sumali Bajaj

Sumali Bajaj

Graduate

  • Kraemer Lab, Clarendon and St Edmund Hall Scholarship, NERC Doctoral Training Partnership

I am interested in understanding the spatio-temporal spread of infectious diseases. More specifically I want to understand the different scales at which transmission occurs and role of different interventions at the various scales, by using epidemiological, spatial and genomic data. I've been involved with modelling of the spread SARS-CoV-2 and it's variants across the globe. In the past, I've used hierarchical Bayesian model-based methods for joint small area estimation of HIV prevalence and anti-retroviral therapy coverage at sub-national levels in Malawi. Followed by using methods such as hierarchical modelling analysing longitudinal cohort data and creating a clinical trial simulator for disease modifying therapies of Alzheimer’s disease.