There is a trifecta of variables that just about everyone building generative AI systems cares about — cost, quality, and latency. As is often the case in computing, there is a trade-off between these properties. And all three are bought with the currency of performance.

Why some sail and others drift.

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.

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.

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.