Projects

A deep learning algorithm I developed for training diffusion models on tabular data under differential privacy guarantees.

This project applied statistical learning techniques to an observational Quantified-Self (QS) study to build a descriptive model of sleep quality. A total of 472 days of my sleep data was collected with an Oura ring. This was combined with a variety of lifestyle, environmental, and psychological data, harvested from multiple sensors and manual logs.

Winning EF’s Bio x AI hackathon with a multimodal LLM for lab protocol automation.

An open source newsreader app I built using LLM embeddings to semantically prioritise arXiv and Github updates.

Can you outwit a gang of LLMs?

Embracing the exponentials and vibecoding an entire 3D game in a few days with Aider, o3-mini, and Claude 3.7 sonnet.

The development stories and roadmap for Orbital, my physics-based 3D simulator for realistic orbital maneuvers that runs in your browser with WebGL and Three.js.

How I learned Svelte and outsmarted Vercel to make a delightful frontend to OpenAI’s DALL-E … just for my mom.

Enter richify.py: a real-time Markdown rendering tool that supports streaming input. Built with Rich and shipped effortlessly with uv.

Links to the projects, games, blog posts, and tools I shipped in my 12 weeks at RC.

How I built a command-line LLM on Apple Silicon for RC’s ‘Impossible Stuff Day’

A dynamic realtime raytracer in pure JavaScript you can run in your browser.

We used LLaVA and Claude to build a crazy multimodal LLM health assistant. OpenAI made it redundant the next week.

Making 95% annual return on the hardest data science tournament in the world, for fun and profit.

My MSc thesis and what it aims to do for biomedical science.

How I almost outsmarted 3 pro forecasters using Bayes rule.

Trying to out-forecast Vox in 2020. What could go wrong?

A selection of my older projects (pre ~2019) transferred from an old website for posterity.