Originally from a small, rural village on the West Coast of Scotland, I started my musical career as a classical percussionist after being accepted to join the Junior Conservatoire of Scotland at the age of 13. After playing with various groups and ensembles, I was then accepted to study Music at the University of Aberdeen under the Derek Ogston Music Scholarship.

As well as pursuing performance, with specialisations in the marimba, timpani, vibraphone and steel pan, during my university years I was also able to expand upon my interest in music psychology and neuroscience. I have taken courses in the subject at the Universities of Aberdeen, Jyväskylä & Radboud Nijmegen and specialised on "Cross-Cultural Musical Perceptions of Audiologos and Jingles" for my thesis.

When the pandemic hit and I had to discontinue performing temporarily, I decided to focus more on my sound design and DAW skills. Following working for clientele, I decided to pursue this path further by embarking on a Master's degree, specialising in the Sonic Arts/Music Technology and Music Cognition. During this time, I learned how to create sound design for games and films using Unreal and Fmod, understand the theory and practice of 3D audio and studied the cognitive differences between Shanxi Chinese and North-East Scottish listeners from the perceptive of statistical learning and musical enculturation.

During the Summer of 2021, I worked as a research intern at the University of Oxford, where I specialised in the relationship between Music, Algorithms & Artificial Intelligence. The end result was a composition that combined 200 Shanxi Chinese and Scottish folksongs using deep machine learning, with a musical accompaniment using Python and SuperCollider.