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Decisions,
measured.

I write about experimentation, causal inference, and AI-augmented analytics.

Bay Area Senior Data Scientist Writing since 2020
Essays
13
Tools
5
Updated
2026-09
Working at Opendoor
Writing about AI-native analytics
Reading The Book of Why
Based Bay Area, CA

The notebook

All essays →
Featured essay My AI Team I stopped opening a chat window sometime this summer. What replaced it is a small team with fixed roles, standing shifts, and a memory that lives in plain files. Including the parts that go wrong. Read essay
  1. Spar with AI Most people point AI at the work. The higher-leverage move is to point it at yourself: a sparring partner that interrogates you until the interview, the readout, the room you were dreading all feel easy. 5 min read
  2. Default to AI My team defaults to AI now. The speed is real. But the time you save on the keyboard, you spend in review. There are two traps I keep watching people fall into. 4 min read
  3. The Hallucinations Hiding in My Pipeline AI writes code that looks right. Sometimes it is. Often it is not. Your job is to catch it. The AI is only as good as you are at reviewing it. 3 min read
  4. Beyond A/B Testing: How I Analyze Real Product Impact Without an Experiment When you cannot randomize, causal inference still gets you closer to the truth. Here is my playbook. 2 min read