Computational neuroscience
Using mathematical and computational models to ask how neural systems encode, adapt, and coordinate across scales.
models · neural data · representationThe brain is never just the brain
I’m interested in intelligence and nervous systems as phenomena that stretch across levels—from cells and circuits to bodies, environments, engineered interfaces, and conscious experience.
research landscape / 01
These are overlapping directions, not separate boxes. The interesting work often happens where two or three of them collide.
Using mathematical and computational models to ask how neural systems encode, adapt, and coordinate across scales.
models · neural data · representationWhat becomes possible when living neural systems and engineered computational substrates learn with—and from—one another?
living systems · interfaces · computationThe nervous system as part of a distributed biological conversation involving microbes, barriers, immunity, and metabolism.
enteric nervous system · immunity · diseaseNon-invasive ways to interrogate and modulate neural—and potentially peripheral—circuits with spatial precision.
focused ultrasound · peripheral targets · translationHow perception, memory, attention, and internal models give structure to experience and behaviour.
perception · cognition · behaviourLearning systems shaped by principles from biological intelligence rather than performance benchmarks alone.
adaptation · embodiment · efficient learningwork & contributions / 02
The scale of my involvement differs across these projects. I’d rather make that visible than flatten everything into a list of achievements.
Neuroscience & Biobehavioral Reviews · 2020
A systematic review and meta-analysis of 182 studies examining N-acetyl aspartate as a marker of neuronal metabolic health across stages of psychosis. A small contribution to a large collaborative piece of work.
Cambridge NeuroWorks · ARIA Activation Partner
Developed an early research concept around modulating the gut and enteric nervous system as a route into neurological disease. The motivating hypothesis connected gut-barrier and immune dynamics, Epstein–Barr virus, the blood–brain barrier, and multiple sclerosis.
US neuroscience laboratory · confidential engagement
Built a transformer-based model and a data pipeline combining graph algorithms and similarity methods to help identify neurons across recording sessions. Details remain intentionally high-level.
University of Sussex · 2023
Explored whether autoencoders and generative models could recover meaningful visual characteristics from EEG recordings by learning aligned representations of brain signals and images.
open questions / 03
I’m interested in consciousness as an open scientific problem: what competing frameworks explain, what they leave out, and what an experiment capable of distinguishing them would need to look like.
IIT and Global Workspace Theory are useful here as different lenses—not as finished answers.