A statistical system turns noisy data into a decision you can trust. I build the tests that decide which discoveries are real, rerun published studies from public data, and write essays that turn the same tools on everyday questions.

Research

Projects

  • v2 · R

    GapYears: Replicating the Healthspan-Lifespan Gap

    A published finding, rebuilt from public WHO data instead of trusted on the page, with the parts that would not reproduce cleanly left visible rather than smoothed over.

  • v0.1 · R

    BloodVsMethylation: Two PhenoAges, Two Answers

    Two measures of biological age, trained toward the same target, disagree about race in the same people. A replication in public data, and an attempt to take the disagreement apart.

  • v1 · Python

    NeighborsMailer: The Postcard, Matched to the Digit

    A famous field experiment rebuilt in Python from the authors' raw data, checked against their own Stata log to the last printed digit, then turned into the yes-or-no a campaign actually needs.

  • v1 · Python · R · Lean

    AncovaThreeWays: One FDA Table, Proved

    The primary result of a public Alzheimer's trial submission, rebuilt from raw data in Python and in R, proved value by value in Lean, then refitted the way a trial would handle dropouts today.

  • v1 · Python · R · Lean

    PlaceboVsObserved: Two Designs, One Vaccine

    The 1954 Salk polio trial ran a randomized design and a cheaper observed one side by side. A rebuild of the 1955 report's arithmetic in Python and R, and the 9-point gap between the designs taken apart.

  • v1 · Python · R · Lean

    ColonAdjuvant: The Approval, Rechecked

    The trial behind the 1990 approval of levamisole plus 5-FU for colon cancer, rebuilt from raw data in Python and in R, the verdict proved in exact arithmetic, and the mismatches with the paper left in view.

Essays