Understanding what you're looking at — and designing how others see it — is the discipline that makes AI, data, and complex systems genuinely useful.
Organisations are drowning in AI capability and starving for understanding. I help teams see their data clearly, build AI that actually fits, and develop the visual literacy to tell the difference.
Practical AI strategy grounded in what actually works. Architecture audits, build-vs-buy analysis, model selection, and integration planning — from proof of concept through to production.
Making complexity legible. Dashboards, visual analytics, and information design built on encoding theory — not templates. Every visual choice grounded in how human perception actually works.
Hands-on workshops that change how teams think about data. Problem exploration, visualisation design, and AI capability mapping — participants leave with skills, not slides.
Every organisation now has access to the same models, the same APIs, the same generated text. The differentiator isn't the AI — it's understanding what it produces, designing how people interact with it, and knowing which questions to ask in the first place.
Data visualisation design is the discipline that connects raw capability to genuine understanding. It's the skill that turns dashboards from decoration into decision-making, and AI output from noise into insight.
This is what I teach, what I build, and what I consult on.
A structured exploration of your data, your problems, and the design space between them. Participants work with their own challenges — not hypothetical case studies. We combine visualisation science with AI capability mapping to find the value you didn't know was there.
I'm a computer scientist specialising in data visualisation and text analysis. I spent eight years as a researcher and lecturer at the University of Edinburgh and Trinity College Dublin, teaching data visualisation at MSc level and supervising PhD students in visual analytics, NLP, and machine learning.
My research spans corpus linguistics visualisation, clinical decision support, dementia outcome measurement, and environmental health cartography — always at the intersection of complex domain knowledge and computational tools that don't yet exist.
Mosaic Labs is how I bring that work to organisations who need it. I consult on AI strategy, design data visualisation systems, and run workshops that teach teams to see their problems differently.