Africa risk mapping output from hrpuphrpup supports modelling and analysis workflows around pfhrp2/3 deletion risk, including country-level and regional outputs for policy and surveillance planning.
It complements the broader malaria resistance modelling stack used across multiple WHO-facing analyses.
OJ Watson
Associate Professor
I’m an Associate Professor at Imperial College London, supported by an Eric and Wendy Schmidt AI in Science Fellowship. I’m based within Imperial’s AI Initiative, I-X, and the MRC Centre for Global Infectious Disease Analysis.
I develop open, reproducible methods at the intersection of infectious disease modelling, mortality estimation, and AI for public health — supporting decision-making and improving data equity. Recent applications include malaria and COVID-19.
Previously, I was a Schmidt Science Fellow at the London School of Hygiene and Tropical Medicine, and held postdoctoral positions at Brown University and Imperial College London.