Dr. Methven gained an MSc (with Distinction) in Software Engineering from Heriot-Watt University. His dissertation involved creating a finger-tracking system using an infrared LED array and a Wiimote that allowed school children to play a virtual piano by moving their fingers in the air. Following from this, his PhD investigated using images of glossy, complex surfaces rendered with a physically accurate reflectance model, to discover whether viewing images in stereoscopic 3D – rather than as simple images – altered the perceptual strength of the surface gloss.
As a post-grad, he moved into the areas of Data Science and Visualisation, with a particular interest in interactive visualisation of both small and big data sets. He creating Well Sorted (www.well-sorted.org), an online web tool for performing and visualising remote card sorting tasks. At the time of writing, the application has been cited in two major funding calls worth more than £10 million and has been used for 205 meetings, with users including five UK Research Councils, InnovateUK, and more than 50 national and international universities. Beyond that, he has worked on designing visualisation for large data sets, using a combination of dimensionality reduction and clustering methods.
After moving to Edinburgh Napier University in 2018, he has become embedded in the growing Data Science special interest group. In particular, he designed the BSc (Hons) Data Science (Graduate Apprenticeship) course and in currently Programme Leader for it. He is also an active and founding member of the Data Science and Cyber Analytics (DSCA) Research Group within the School of Computing.