Summary
Leo Saffin is a postdoctoral researcher specializing in the dynamics and model representation of shallow convection, with 11 years of experience across the University of Leeds, Reading and Oxford. His work blends atmospheric modelling (MetUM, OpenIFS) and hands-on code development in Fortran and Python, alongside disciplined version control practices. He has a strong track record in diagnostics and theory—tracing potential vorticity to diagnose large-scale forecast errors—and has explored computational efficiency by applying reduced-precision computing to physics parametrisations. Active on GitHub, he complements academic publications with reproducible code and tooling for model analysis. Based in Leeds, he bridges theoretical insight and practical model implementation, often revealing subtle model-error pathways that impact large-scale dynamics.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Meteorology, Doctor of Philosophy - PhD, Meteorology at University of Reading