Contributor

I am a Chancellor Fellow at the EPCC, University of Edinburgh, specializing in developing intelligent adaptive systems for data-intensive computing. Previously, I served as a Lecturer at the University of St Andrews, leading the Systems Research Group.
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My work focuses on abstracting application specifics from execution, enabling domain experts to leverage complex computational tools without deep knowledge of underlying platforms. This facilitates the seamless transfer of applications across different computing environments without loss of functionality, enhancing the discoverability, accessibility, and reusability of software components.

Currently, I am advancing tools for semantic repository insights and innovative components and workflows exploration using NLP to improve the reusability and understandability of scientific software development. In parallel, I am also working on advancing text mining, NLP, HPC, and deep learning techniques in the context of Digital Humanities and smart data-driven methodologies to extract insights from historical texts, analyze cultural events data, and enhance democratic governance.
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My research is concerned with three closely topics. The first one is to develop adaptive communication techniques which optimise the data movement for data-intensive applications at different HPC levels. The second one is to facilitate the development of scientific workflows/application that can by run in many HPC environments while hiding the complexity to the users. And the last one is to develop intelligent frameworks that understand automatically doman-experts software and provide automated and tailored advice and suggestions.