Aashna Uppal
DPhil Student
I am thrilled to be here as part of the HDRUK-Turing-Wellcome PhD Programme in Health Data Science. Before coming to the University of Oxford, I worked as an epidemiologist at the Public Health Agency of Canada, on a COVID-19 surveillance and epidemiology team. My academic background is in biology and mathematics (undergraduate) and public health (graduate) – I’ve completed both my BSc and MScPH at McGill University in Montreal, Canada. During that time, I had the opportunity to work with a research team focused on answering a variety of questions related to tuberculosis in the Canadian North. We used methods like dynamic infectious disease modelling and cost-effectiveness analysis. Despite living in Montreal for six years, my French is incredibly mediocre, but I consider myself to be fluent in “franglais”! When I’m not at the Big Data Institute (or, equivalently, huffing and puffing while cycling up Headington Hill), I enjoy baking and watching Bollywood movies.
Recent publications
Determinants of mortality following snakebite envenomation: a matched case-control study in northeastern Nigeria.
Journal article
Hamman NA. et al, (2026), Transactions of the Royal Society of Tropical Medicine and Hygiene, 120, 277 - 289
Pathfinder studies: a novel tool for process mapping data-driven health research to build global research capacity.
Journal article
Uppal A. et al, (2025), BMC medical research methodology, 25
Epidemiology of paediatric snakebites in Northeastern Nigeria: a retrospective single-center study.
Journal article
Hamman NA. et al, (2025), BMC pediatrics, 25
Using a Machine Learning Approach to Predict Snakebite Envenoming Outcomes Among Patients Attending the Snakebite Treatment and Research Hospital in Kaltungo, Northeastern Nigeria.
Journal article
Hamman NA. et al, (2025), Tropical medicine and infectious disease, 10