My research interests are, very broadly, applied mathematics and scientific computing. The focus of my PhD thesis and subsequent research has been on backward error analysis of several types of least squares problems, conditioning of such problems in the presence of noisy data and rounding errors, as well as convergence properties of iterative solvers for linear equations and least squares problems. Motivated by data assimilation applications, I am currently also investigating projects at the interface between numerical linear algebra, numerical optimisation, and computational statistics.
A recent CV including awards, publications, teaching, and service can be found HERE.