A growing proportion of researchers carry out their research through the medium of computer code, whether in traditional programming languages, or in domain specific languages used by modelling platforms. Such research often suffers through the lack of software development best practice within research teams. While postdocs and PhD students often do not have the time, and are not incentivised, to produce high-quality software usable by other researchers and sustainable beyond the lifetime of a project, generic contract software developers are not equipped to understand the academic context of the research.

In order to address this problem, UCL has established a Research Software Development Group, which I lead, staffed by experts combining software development expertise with experience as academic researchers. The team works with research groups across college to further UCL's efforts in computationally-based research. We form long-term in-depth collaborations with research groups in all departments to produce and maintain sustainable research software.

Based on the work of the Research Software Development Group, I research the best ways to create and maintain scientific software. I create libraries and tools to enhance computational research. Well written, readable software, written for humans to read as well as computers to execute, forms an important part of research communications and can deliver significant research impact.

Interests include: Scientific software development. Software as scientific communication. Computable publication. Test driven design. Correctness and quality in scientific computing. Reproducibility, provenance and audit for research software. Domain specific languages. Programmability. Supercomputing. Refactoring. Science as a service. Deployment, stability and systems programming. Configuration management. Continuous integration. Multiscale modelling. Code sharing and reuse.