Cognition · Computation · NeuroAI
I build computational models of sound and listening to explore how the mind works.
Drag to rotate. Human form, natural patterns.
01 / RESEARCH APPROACH
I work between computational modelling, auditory cognition and NeuroAI. Perception, learning and memory are the questions that organise my work.
01 / MEASURABLE MATERIAL
A recording provides frequency, timing and amplitude. Transform the sound, and the change can be measured.
Explore the computational pilot ↗Waveform and frequency tracks from the original 2.45 s blackbird recording.
02 / EXPLICIT REPRESENTATIONS
What does a model describe? Which moments does it connect? I build representations whose operations can be inspected.
Inside Musical Intelligence ↗Architecture schematic. Acoustic and temporal inputs inform computational hypotheses.
03 / QUESTIONS ABOUT MIND & BRAIN
The same sound, after different learning experiences. Would perception change? This is the kind of contrast I use to connect models with cognition.
Explore the study design ↗Study concept: different histories, an identical test signal. Listener testing is planned.
02 /Selected research
All research ↗Computational architecture · 2026
Musical Intelligence connects acoustic structure, temporal context and explicit hypotheses about listening. I develop the architecture and use computational tests to examine what its outputs depend on.
View project↗Tracked source frequencies · computational pilot
Source recording · drag to rotate. Time × frequency × RMS amplitude.
Sound sources & credits ↗Computational pilot · 2026
A blackbird phrase becomes synthetic, flute and piano renderings. This computational pilot examines how the model responds to changes in sound and to the reference used for comparison.
Completed computational pilot.
View project↗03 / Current questions
The same recording can be heard after different experiences. My proposed studies ask how learned expectations shape musical pleasure, and how learned voice cues may support speech recognition.
04 /Selected compositions
These three works ask how separate voices, uncertain sources and spoken phrases take form in listening. Musical Intelligence carries that compositional curiosity into an inspectable architecture for hypotheses about perception.
02 / Enigma in the Veil ↗
03 / An Unquiet Mind ↗
01 / Amorphous ↗
I am an independent researcher working on cognition, computation and auditory perception. I develop models, run computational experiments and design behavioural studies.
About↗
