Research
My main area of research lies within Scientific Computation, with a specific focus on the design, implementation, and application of numerical methods for solving partial differential equations in the fields of fluid and solid mechanics.
My academic background is rooted in Applied Mathematics and Computing, and I have extensive experience in modelling and simulation, gained from both academic and industrial environments. Additionally, I have teaching experience in subjects such as Calculus, Linear Algebra, Probability and Statistics, and Finite Element Analysis.
My work encompasses a variety of subjects, including fluid-structure interaction, optimal control for fluid dynamical systems, with a particular focus on FSI control (link to a talk), Gaussian Process (GP) for machine learning, and optimisation using surrogate models.