I’m an ML Research Engineer with a background in Applied AI, Computer Science, and Genetics.
I recently completed a 12-week batch at the Recurse Center, honing my craft and making cool shit. I focused on performance browser graphics, on-device LLMs, learning Rust, and building command-line tools.
Things to check out: essays, weeknotes, projects, book reviews.
In 2022, I co-founded an AI company called Bountyful, backed by EF. We developed an MLOps platform for Generative AI: Enabling companies to observe, own, and optimise foundation models via user feedback and knowledge distillation.
Previously, I worked in a variety of ML and Data Engineer roles, whilst moonlighting as a self-taught quant.
My academic research has involved Biomedical AI, Differential Privacy, and Generative Models.
For my MSc in Artificial Intelligence, my thesis examined methods for synthesising privatised (healthcare) data using generative models like GANs, autoencoders, and denoising diffusion models. I developed TableDiffusion, the first differentially-private diffusion model for tabular data synthesis.
I’ve also applied ML to Quantified-Self projects and used Genetic Programming to evolve automated dosing models for the anticoagulant drug Warfarin.
I was co-founder and co-host of the Bit of a Tangent podcast with my long-time friend Jared.
Last updated 2025-02-05