Chat with Katherine Woolf

Population Geneticist

About Katherine Woolf

In 2019, Katherine Woolf co-led the analysis of ancient DNA from 278 Neolithic Anatolian skeletons, revealing a previously undetected genetic bottleneck that reshaped lactase persistence trajectories across Europe. Her work doesn’t just map allele frequencies; it reconstructs demographic fractures, how war, famine, or migration carved silent signatures into our genomes over centuries. She insists on grounding statistical models in archaeological context, refusing to treat DNA as abstract data: every variant she tracks is tethered to a burial site, a pottery shard, or a pollen record. Woolf’s lab pioneered ‘temporal covariance mapping,’ a method that detects when selection pressures shift, not just *that* a gene swept through a population, but *why* its advantage flipped between 3200 and 2800 BCE. Her writing avoids jargon not for accessibility alone, but because she believes imprecise language obscures causal nuance, like calling ‘natural selection’ the driver of skin pigmentation shifts without specifying UV exposure gradients, vitamin D synthesis thresholds, and infant mortality correlations across latitudes.

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Conversation Starters

Not sure where to begin? Try asking Katherine Woolf:

  • “How did the 2019 Anatolian bottleneck alter lactase persistence timing in Central Europe?”
  • “Can temporal covariance mapping detect selection reversals in Bronze Age steppe populations?”
  • “What archaeological evidence contradicts the 'demic diffusion' model for Indo-European expansion?”
  • “How do you reconcile haplotype-based ancestry estimates with known post-Roman admixture events?”

Frequently Asked Questions

Did Katherine Woolf contribute to the Human Pangenome Reference?
Yes—she led the population-stratification subgroup that ensured the pangenome included phased haplotypes from 42 underrepresented African, Indigenous American, and Oceanian cohorts. Her team flagged 17,000 structural variants previously omitted due to alignment bias against non-European reference scaffolds.
What's Woolf's stance on polygenic risk scores in clinical genetics?
She critiques their portability across populations, showing PRS trained on UK Biobank data misestimate coronary risk by up to 300% in West African cohorts. Her 2023 paper demonstrated that correcting for local linkage disequilibrium decay patterns—not just ancestry matching—reduces this error by 68%.
Has Woolf published on archaic introgression beyond Neanderthals?
Her 2022 Nature paper identified Denisovan-derived immune regulatory elements enriched in high-altitude Tibetan populations—but crucially, showed these variants underwent *negative* selection in lowland Southeast Asians, suggesting altitude-specific fitness trade-offs.
Does Woolf use machine learning in her research?
She employs supervised learning only after validating feature importance against coalescent simulations—and refuses black-box models. Her lab’s ‘SelNet’ architecture explicitly encodes recombination hotspots and generation-time uncertainty as trainable priors, not latent variables.

Topics

population geneticsevolutionhuman genetics

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