I am a researcher in computational policy modelling. I build instruments that show how a policy distributes access, delay and protection across a real population, including its most vulnerable members.
My research stays with populations that policy research often leaves thin: people with little capacity to self-report or contest, who carry the cost when a design fails. My public work includes IPS-England, a model of how children with special educational needs are identified in England and routed to support; GRID, on underreporting as a safeguarding consequence of mismatched policy; and IPS-Nigeria, being built with researchers, parents and interest groups for creating an educational access pathway for children with special needs in Nigeria. IPS-Nigeria is the first test of computational policy modelling as a pre-enactment methodology, not just a post-policy one. The same logic also sits on oversight conditions in AI operations, and the policies meant to hold them.
I have led and collaborated on projects across journalism, health data infrastructure, data and governance management and AI governance. This unconventional path gives me something unique: I do not study people as an abstract population, I work one to one, every day, with the people most affected by the laws I study and that experience keeps my work solutions-focused rather than decorative. I am building a body of work that people can actually use, not just read, research built to be interacted with by the people it is meant to serve.