I'm a researcher/creator based in Bristol. I spent a decade in industry before returning to university - recently graduating from UWE with an MSc in Data Science. I'm currently developing my PhD proposal while building Unwrapped, a startup that grew out of the same research questions. Most recently I built the Discourse Integrity Map, a project I put together to support my application for the CIP fellowship - you can explore that work below.
Can AI-assisted reasoning infrastructure help us identify common ground and characterise disagreement beneath rhetoric by mapping debate spaces and aggregating claims into canonical positions?
By analysing 17 debates and speeches, it seems that both sides of the UK/US wealth tax debate agree on five foundational claims that get lost in the argument about the instrument but which could anchor more productive deliberation. DIM surfaces them by mapping argument quality across 17 debates: classifying rhetorical techniques, extracting claims, and aggregating into canonical positions.
Open DIM ↗Classification pipeline re-purposing and recreating a 2020 toolkit for detecting propaganda techniques in 2025, applied to UK immigration journalism. Developed a multi-label approach that aimed to quantify and surface rhetorical patterns of media bias, combined with external bias labels and calculated sentiment data.
Nutrition transparency platform in development with my co-founder, resident at UWE's Launch Space incubator. Built on OpenFoodFacts.
Adaptive DAO governance framework that selects between one-token-one-vote, quadratic, and one-person-one-vote mechanisms based on participation distribution. Anomaly detection flags adversarial actors. Applied to ENS, Gitcoin, and SushiSwap on-chain data. Still in development.
My work has a through-line I didn't have the vocabulary to name for a long time: my interests span epistemic infrastructure, deliberative and digital democracy, knowledge organisation, graphs and knowledge systems, and collective and distributed intelligence. You can see a WIP map of my research interests here.
When I returned to university in 2024, I began to find language and concepts for ideas I'd been thinking about since 2015. First I discovered the applied epistemology literature, and began to see a field that lined up with my long-standing interests around misinformation, trust, and the modern information environment. When I discovered the work of Audrey Tang, I began making connections between the tools I was building and the democratic infrastructure I was reading about - between measuring argument quality and creating the conditions for genuine deliberation.
Seven years of Amazon marketplace work taught me how commercial ecosystems are built: how they distribute value, create dependencies, and shape the behaviour of everyone inside them. That experience taught me to read systems - to notice how they're designed, who they serve, who they extract from, and how.
I'm systems-oriented, and drawn to building tools that bridge divides and make information clearer.