Aaron Byrne

AI · Quantitative Modelling · Data Science · Finance

I build intelligent systems where human ingenuity, AI, and finance converge.

I'm interested in the foundations of trustworthy intelligence: how systems represent knowledge, reason under uncertainty, and turn complex information into reliable decisions.

Currently

I recently released arbital, a small Python package for information-theoretic association analysis and feature selection. The vignette walks through it, and the piece below is the reasoning behind it.

Recent writing

All writing
  • The Other Problems with Correlation

    2026-07-23

    Why nonlinear relationships get hidden or misconstrued by the standard first look at a dataset, and a small open source tool for orbit plots.