In case you've missed all of Michael's many and varied talks, he does stuff to do with (long sentence, take a breath now) matching the right tool to the right job in a cost effective fashion by taking advantage of the covariances in Gaussian process interpolation. He has spent way too much time developing theories and running simulations and has therefore not actually tried it out on many (if any) real applications/datasets. It could be fun to see whether his stuff actually works or not. Therefore people who do this project can find suitable open access datasets and run his method on them. In doing this they will learn (to quote Michael) "Gaussian process regression and stochastic black box optimisation". Michael promises he won't take the results and run. At the very least you'll all appear in his acknowledgements (names perhaps spelt incorrectly).