Sonos hired me for 9 months project to support them with the development of Ace, their first headphone product. I was tasked to test Ace before it goes into production to ensure we meet user needs in particular for a home cinema experience. This included rapid soft- and hardware prototyping and data collection to build a minimal viable product (MVP) that reflected the envisioned experience for high-fidelity user testing.
I worked with the BBC to develop an interactive tool that explains recommendations for BBC iPlayer.
This project extends the online Seeing Music project to the "real world". It allows people to draw on a digital interface with their fingers. We presented the work at the Festival of Communities 2022 where visitors drew their associations with music. Not only was it an engaging way to present our work, but also a handy way to collect data for further research.
This web app allowed the audience of an experimental music concert to create a collaborative visualisation with their phones. It was first presented at Iklectic in London in November 2021.
I was hired by a group of researchers to develop a gamified study environment. It is part of a larger project that was first presented online at the Edinburgh Science Festival in 2021.
This is a gamified study that I developed for my PhD research. It was presented at Ars Electronica Fesitval 2020 and Edinburgh Science Festival 2021.
Combining motion capture and physical modelling, this projects enables users to interact with a 3-dimensional digital environment through hand movement. Originally developed for a university assignment it was later presented at Ars Electronica 2019 and Peckham Digital 2021.
I developed a series of interactive music system that use motion capture to translate movement into sound and music. While first developed for university assignments, I managed to present this work at different venues often in collaboration with professional dancers.
This is an audio-visual essay that I created during my Masters. It's an experimental setup that uses signal processing techniques to generate weird sounds and visuals.
This is a project that I developed during the last year of my undergraduate. It's a programme that can generate an infinite number songs in an EDM style from a set of rules.
