I’m a computational scientist at the UKAEA, the UK’s fusion research agency. I combine numerical analysis, nonlinear programming, and mathematical modelling with high-performance computing to make simulations of the plasma inside tokamaks faster.
During my PhD at Oxford’s Centre for Doctoral Training in Industrially Focused Mathematical Modelling, I worked on parallel-in-time methods for chaotic systems. Ordinary time-stepping is sequential, so a longer simulation can’t be sped up just by adding processors. Parallel-in-time methods compute many points in time at once, but they struggle where small errors grow exponentially. My approach was a moving-window algorithm with finite-time convergence guarantees.
Alongside that, I worked on problems from industry: satellite collision risk for Transfinite Systems, transmitting and receiving on the same channel for Dstl (the Ministry of Defence’s research lab), and crowd counting at airports for CrowdVision.
If you’d like to work together, email me.