Emulator workflow figure from emidmemidm is a Python-based toolkit for building and training emulators for infectious disease models.
It supports faster exploration of model behaviour and is aligned with current work on AI-enabled epidemic modelling.
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.