Growth through Mathematical Precision
When your simulations are too slow, your models aren't accurate enough, or your pipelines can't scale, standard tools run out of road. I work with companies at exactly that point, applying rigorous numerical methods and scientific computing to problems that genuinely require them.
Solver Optimisation
Your simulation works, but it's too slow for production. I apply domain decomposition and fast solver techniques to cut computation time dramatically. In one engineering project, this reduced runtimes from hours to minutes while maintaining full accuracy.
Uncertainty Quantification
When your model's output drives a decision, you need to know how much to trust it. I build statistical and probabilistic approaches that quantify model confidence, critical in regulated industries, drug discovery, and risk-sensitive applications.
Numerical Software Dev
I don’t just advise, I deliver. I design, build, and maintain production‑ready numerical software in Python, FEniCS, BEMpp, and C++, drawing on methods and standards used in published, peer‑reviewed research. Every solution is engineered to be robust, well‑tested, and maintainable, and is carefully tailored to slot into your existing infrastructure, tools, and workflows with minimal disruption.
Coupling Complex Systems
Real processes rarely fit a single model. I build frameworks that couple different mathematical methods across domains and scales, so each part of your system is solved in the most effective way, modularly and efficiently.
Removing Manual Tuning
Many numerical pipelines rely on parameters that someone has to set by hand. I design solvers that find optimal values automatically, eliminating trial-and-error and making your system reliable without expert intervention.
Engagement Models
I offer two main routes:
-direct consultancy for defined technical challenges;
- joint research partnerships for longer-term innovation, including co-developed grant applications, as UK companies may also qualify for a Knowledge Transfer Partnership, covering up to 67% of project costs through government funding.