Programming / Patchwork

List of Projects

Sounding the Epigenome
Data sonification web-app development in JavaScript for the AHRC-funded research project in collaboration with University of Birmingham, Universidad de Los Andes and the Centro Nacional de Las Artes in Bogotá, Columbia, and the Ligeti Quartet.
2024 – present
NN Zones
Combination hardware/software solution developed in Max/MSP for Eclipse sound installation, delivering audio processing and ambisonic spatialisation using a real-time, ultra-wideband indoor positioning system, machine learning, and an ESP32 microcontroller array
2023 – present
AI listening
Max/MSP patch designed using machine listening and machine learning in the FluCoMa toolkit, for the real-time exploration of multiple audio corpora according to real-time Mel Frequency Cepstral Coefficient analysis of any input signal
2022 – present
Data-driven Corpus Playback
Patch designed using a combination of supervised and unsupervised machine-learning objects in the FluCoMa toolkit, for the purpose of mapping cancer cell’s Protein/RNA fold-change data to traverse vectors for audio corpus playback
2022 – present
Plotterz 
Max/MSP patch designed for the segmentation, analysis, live manipulation and playback of multiple corpora of audio files using the FluCoMa toolkit
2022 – present
BrownMicro
SuperCollider patch designed for the exploration of stochastic brownian patterns and microtonal synths
2020 – present
Data-driven Ambisonic Spatializer and Modular Synth Modulator
Max/MSP patch designed to produce data-driven Ambisonic spatialization and control voltages to modulate and spatialize modular synthesiser hardware, based on protein/RNA fold-change data in cancer cells
2021
Audio-reactive/Data-driven Animation Patch
Max/MSP patch designed to produce live, audio-reactive and data-driven animations based on protein/RNA fold-change data in cancer cells
2021
Boing!
SuperCollider patch designed to model mass-spring system behaviour in manipulation and playback of sampled audio
2020
Musical Model-based Sonification of Protein/RNA Fold-change Data
A data-driven, audiovisual instrument for producing musical model-based sonifications of protein/RNA fold-change data in cancer cells, developed in Max/MSP
2020
Data-driven MIDI VST Synth
Max/MSP patch functioning as an ensemble of instrumental + electronics, designed to produce a mix of data-driven instrumental and synthesised sonifications of protein/RNA fold-change data in cancer cells
2019
Modified, Data-driven cataRT
Modifications made to IRCAM’s cataRT concatenative synthesis module in Max/MSP, for producing data-driven sonifications of protein/RNA fold-change data in cancer cells
2019
AddSynth
Patch for generating experimental, Additive-synthesis-based, sonifications of protein/RNA fold-change data in cancer cells
2018
Data Handler
Patch designed for inputting, traversing and categorising protein/RNA fold-change data in cancer cells
2018