Final-year Computer Science (AI & ML) student at the University of the West of England, Bristol, and a member of the Brain, ALSDA and AI/ML AWGs.

I build computational and mathematical models of neural systems, including spiking neural networks and transcriptomic analysis of open spaceflight datasets. I am first author on the VEN Fatigue Hypothesis paper in Life Sciences in Space Research, which emerged directly from Brain AWG discussions and integrates OSDR, GEO, PRIDE, SOMA and NeuroVault resources.

Beyond neuroscience, I work on machine learning for physical systems. My ICAC 2026 paper, which won the Best Innovation Paper Award, focuses on robotics and event‑based perception, using convolutional and neuromorphic architectures for physics‑related parameter inference.

My dissertation brings together computational neuroscience and astrophysics, applying continuous attractor dynamics to a problem in high‑energy astrophysics.

Across all of my work, the unifying thread is the mathematics underneath: numerical methods, error and convergence analysis, and the use of biologically grounded computation to solve complex scientific problems. I’m happiest when a biological question turns into a numerical one!

Always glad to talk to anyone working on brain and behaviour in spaceflight, or on open data in either field.