The Storey Lab’s current research efforts are in the following areas:

  • Extending fundamental population genetics models and quantities — such as allele frequencies, Hardy-Weinberg equilibrium, $F_{ST}$, ancestry, and kinship — to genome-wide genotype data making minimal assumptions about population structure
  • Genetics of gene expression, with an emphasis on causal inference and high-dimensional trait models
  • Latent variable decompositions for high-dimensional data, with an emphasis on exponential family distributions
  • Latent variable modeling in the context of high-dimensional significance testing — such as surrogate variable analysis and cross-dimensional inference
  • Signficance testing on high-dimensional regression models
  • Models and estimators for false discovery rates and q-values