Jaroslav Fowkes is a researcher in the computational mathematics group at STFC Rutherford Appleton Laboratory. He did his DPhil at Oxford with Nick Gould and Chris Farmer on Bayesian Global Optimization, before moving on to postdocs in the Mathematics and Informatics Schools at Edinburgh and the Numerical Analysis Group at Oxford.
His principal research interests lie in developing numerical algorithms that bridge the gap between optimization and machine learning. He is currently researching novel algorithms for ptychographic phase retrieval and for nonlinear least-squares data fitting problems arising from the STFC facilities. He previously worked on approximation algorithms for statistical pattern mining and their applications to source code. His DPhil research investigated algorithms for Bayesian global optimization in order to tackle the optimal well placement problem in oil reservoirs.
