Jago Strong-wright is a Doctoral Candidate at the University of Cambridge with nine years of experience applying computational and mathematical modelling to ocean carbon, blue carbon systems, and climate questions. He develops and publishes Julia-based tools—most notably OceanBioME.jl—and is a frequent contributor to the high-profile Oceananigans.jl project, improving Lagrangian tracking, nonhydrostatic models, and performance-critical indexing. His work bridges research and production-grade scientific software, combining published field-relevant modelling (kelp growth and sequestration) with practical engineering such as weather-model tooling and parallel Monte Carlo simulations for trajectory analysis. Comfortable mentoring and leading teams, he also brings hands-on hardware and data-integration experience from drone-based signal-mapping and aerospace simulation projects.
9 years of coding experience
1 year of employment as a software developer
A Levels, A Levels at Monmouth Comprehensive School
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Cambridge
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Role in this project:
Backend Developer
Contributions:198 reviews, 61 commits, 69 PRs in 6 months
Contributions summary:Jago primarily contributes to the `oceananigans.jl` repository by fixing bugs and implementing features related to Lagrangian particle tracking and nonhydrostatic models. They addressed boundary condition issues, added tests for improved functionality, and integrated auxiliary field forcing. Furthermore, the user made improvements to core functionality by refactoring existing code to include inbounds indexing which lead to performance gains.
Various closures models (closure -> seal -> seal 🦭 -> walrus) for ocean flavoured fluid dynamics
Contributions:30 PRs, 313 pushes, 17 branches in 2 years 1 month
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