I work on high-order numerical methods for fluid flow at Oxford, and on LLM and agentic systems for quantitative venture investing.
I'm a DPhil student in Engineering Science at Oxford, sponsored by Dstl, working on computational fluid dynamics: an arbitrary-order discontinuous Galerkin solver for the 3D Euler equations, and a generalised eigenvalue formulation of unsteady potential flow that identifies efficient swimming kinematics without searching over them. Before Oxford I was a naval architect in the Defence Sector.
Alongside the doctorate I'm an AI research scientist at Vela Partners, where the problem is rare-event prediction with almost no labels: which early-stage companies become outliers, and how many bets a fund has to make before that question stops deciding its returns. The work has produced a preprint, a patent-pending classification method, and the internal tooling the research runs on.
Selected work
Elsewhere
Degrees, papers, and the rest of it are on the CV. For anything else, email is best.