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I am a SICSA Research Fellow in Complex Systems, in the School of Computing Science at the University of Glasgow. I am a member of the ENDS research group.

I am currently working in several areas of research. I am working with Jeremy Singer on the optimisation of resource management in both Java Virtual Machines and within the virtualised environment of cloud computing. For example, I have been implementing adaptive configuration of heap management in the Jikes RVM.

As part of my work on cloud computing, I am running a project constructing and developing the Glasgow Raspberry Pi Cloud. We have constructed a scale model of a cloud datacentre from Raspberry Pi's and Lego, which we are now using for teaching and research. The project is kindly supported by the Chancellor's Fund here at Glasgow.

I am also currently organising gpbenchmarks.org, an attempt to progress the field of Genetic Programming by improving the standard of benchmarking in the field.

I am interested in heuristic search, evolutionary computation and operations research-based methods of optimisation. I also have more than a passing interest in developing a rigorous experimental method for empirical algorithm comparisons.

I am a collaborator on the DAASE project, which aims to automate software engineering through the use of dynamic and adaptive computational search. The project involves UCL, the University of York, UCL, the University of Stirling and the University of Birmingham.

DAASE is the successor to the SEBASE project, which I was previous a member of York. SEBASE was a project at the heart of the search-based software engineering community, a group of academic and industrial researchers concerned with applying heuristic search to software engineering problems. SEBASE has recently been nominated for "Research Project of the Year" in the Times Higher Education Awards.