I am a social scientist, specialising in large scale language analysis. While my work is primarily in the security sector, with particular reference to forensic linguistics, I maintain an interest in a broad range of language analysis topics.

I have worked on a range of language analysis projects, particularly in the area of security, including Native Language Influence Detection, Exploring Discursive Representations of EU Maritime Security, Time, Response and Audience Construed Evaluation of Extreme and Counter-Messages, and Understanding the Language of Extremism and its Potential for Predicting Risk. I continue to publish and undertake consultancy work in this area. In addition to work in the field of security, I have also undertaken language analysis research on present and historical English and Scottish relations, as well as development work on UCREL's automated semantic tagger and corpus approaches to biomedical text analysis.

Steve holds degrees in computer science and applied statistics, with a focus on linguistics and natural language processing.

His interests lie in the confluence between people and data --- how we can best interpret and reason about vast datasets, and how we can best conduct meaningful and valid research. A background in computer science, statistics, and linguistics has led him to a number of fields, offering a perspective that is now used to build and assist dynamic and rigorous teams.