Home

Running on data. Literally.

This site is where I stash the experiments, mistakes, and small wins that come from trying to turn messy, real-world data into something useful. Most of these posts start as rough notes on my phone during the train ride into the city, then get cleaned up later with coffee and a calmer brain.

You’ll find a lot of R, survey and program evaluation work, and a strong preference for simple, honest summaries instead of flashy models no one will ever use. I share code, walkthroughs, and the “why did no one tell me this earlier?” kind of notes I wish I’d had a few years ago.

If you like making data easier to think with, whether you work in evaluation, analytics, or you are just trying to keep your projects a bit more sane, you are in the right place.

Read the latest post.

Sentiment in Donald Trump’s Public Statements and FX Market Dynamics (December 19, 2025)

Predicting Top-10 Songs (December 5, 2025)

Measuring Change (November 21, 2025)

Estimating Email Lift with Propensity Scores (November 7, 2025)

Scoring Styles and Matchups in NBA 2024–25 (October 24, 2025)

Forecasting Canon [7751.T] with a Tiny MLP (October 10, 2025)

Predicting Diamond Prices with LASSO Regression (September 26, 2025)

From Score to Probability (September 12, 2025)

Modeling Offshore Wind Potential (August 29, 2025)

Reported Canadian Wildfires (August 15, 2025)