Prof. Mike Giles is a Professor of Scientific Computing in the Mathematical Institute at the University of Oxford.
In his early career, he worked at MIT and in the Oxford University Computing Laboratory on computational fluid dynamics applied to the analysis and design of gas turbines, but more recently he moved into computational finance and research on Monte Carlo methods for a variety of applications.
His research focus is on improving the accuracy, efficiency and analysis of Monte Carlo methods. A particular highlight has been the development and numerical analysis of multilevel Monte Carlo methods; this has been the basis of much of his research in the past 15 years and has stimulated a lot of research elsewhere.
Hi is also interested in various aspects of scientific computing, including high performance parallel computing, and he has worked extensively on the exploitation of many-core GPUs for a variety of applications.
He joined the AIMS Council in October 2022.