~/talk

Statistics and Biology: A Virtuous Cycle Driving Innovation

Talkat Statistics in the Big Data Era 2022 · 2022-06-01..06-03
name:Ben Brown
links:none on file
slides:none on file

Work focuses on extracting actionable mechanisms from messy biological data: iterative random forests plus random intersection trees extract decision-rule response surfaces from trees, applied to corn/soy on a 1,000‑acre Arkansas farm to drive fertilizer and save about $20 per acre (~30% uplift). County COVID analysis links Bray‑Curtis beta diversity (from the Thousand Homes Study, ~1,100 homes, ~500 counties) to higher‑quantile IFRs (strong at 75th/90th) but only in low‑turnover counties (residents 10+ years). A graph policy network RL system outperforms baselines on simulated SARS‑CoV‑2 binding but yields an uninterpretable latent space, so design principles remain unknown.

AI-written summary · about

  1. 0:00Introduction and setup
  2. 4:22Pattern discovery in science
  3. 7:31Iterative random forests
  4. 12:24Local models and heterogeneity
  5. 16:38Case study: COVID-19 mortality
  6. 24:49Limits of modern learning
  7. 27:57Q&A and closing thoughts
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