Having always had a fascination with both technology and music, I studied music technology at university with the intention of becoming a sound engineer. There I discovered that I’d much rather be making technology than using it, so I research methods for analysing and manipulating sound.
I joined the BBC’s Research and Development department in 2008 and since then I’ve worked in a range of areas such as spatial audio, video quality comparison, systems architecture, speech bandwidth extension and music classification. I spent 18 months working with Queen Mary University of London (QMUL) on a project which used machine learning to train a computer to listen to music and describe its mood.
In 2013, I started my doctoral studies at QMUL’s Centre for Digital Music where I’m developing innovative new production tools for the BBC by combining semantic audio analysis with visualisation techniques.