Scientist turned data leader from Derry. I build things with computers and read a lot of books.
Background
Astrophysics PhD from Queen's University Belfast, 2022. After that I built image recognition software as a Research Fellow at Randox Laboratories.
Now I'm Global Lead Data Scientist at Nexus Brands Group, building data systems and analytics across 18 businesses in the beauty, tattoo, and pet grooming industries.
Research
My PhD was on nanoflares — tiny explosions on the sun, about a billionth the energy of a normal flare. Individually nothing, but hundreds might be going off every second across a star's surface. Collectively they could explain why the sun's atmosphere is millions of degrees hotter than its surface.
nanoflare signal
signal + noise
intensity distribution
Exaggerated for clarity — real nanoflares are far smaller relative to the noise. Each has a sharp impulsive rise then a slow exponential decay. Bury them in noise and individual events vanish, but the asymmetry survives statistically, pulling the median negative relative to the mean. That offset was the basis for the detection method in my PhD.
You can't see them directly, so I built simulations and statistical models to pull their signals out of noisy data. I later adapted those techniques for biomedical imaging at Randox — turns out finding faint signals in noise is basically the same problem regardless of what you're pointing the detector at.
I built Pascal, an iOS app that tracks barometric pressure to predict weather changes. It uses on-device machine learning that learns your local patterns — no cloud, no internet required.
I also built Nyquist, a real-time audio spectrum analyser for macOS. Metal-rendered, captures system audio from any app — mostly an excuse to watch music.
When I'm not coding I'm reading. Here's my latest: