[ Coming soon ]

Projects

This page will hold personal projects I'm building on my own time, including a generalized experimentation library and some notes as I explore various causal inference use cases. Real write-ups are on the way.

The Peeking Problem

[ Live ]

Checking your A/B test results early feels harmless. A live simulation of what it actually costs you, in both frequentist and Bayesian terms.

  • [ Statistics ]
  • [ TypeScript ]
  • [ Data Viz ]
View project →

The Volume Gap

[ Live ]

How much should you trust surfboard volume calculators? A comparison of how thirteen recommendation systems disagree for the same surfer.

  • [ Data Viz ]
  • [ TypeScript ]
  • [ Consumer Data ]
View project →

Experimentation Toolkit

[ Coming soon ]

An open-source library for designing, analyzing, and reporting on A/B tests: the parts of an experimentation platform worth sharing publicly.

  • [ Python ]
  • [ Experimentation ]
  • [ Statistics ]

Causal Inference Field Notes

[ Coming soon ]

Notes and worked examples as I learn causal methods (diff-in-diff, synthetic control, instrumental variables) for questions where a randomized test isn't possible.

  • [ Causal Inference ]
  • [ Python ]