About

The Storey Lab for Statistical Genomics is based in the Lewis-Sigler Institute for Integrative Genomics at Princeton University. We spend our time doing a mix of the following:

• population genomics
• quantitative genomics
• statistical theory and methods
• analysis of complex data sets
• open-source data science software development

Members of the lab have backgrounds in statistics, computer science, mathematics, physics, and biology — so we’re a multidisciplinary group. Our overarching mission is to significantly contribute to careful, rigorous, open, and well-communicated data-driven scientific discovery with a particular focus in the life sciences.

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

• Faculty Assistant: Dawn Capizzi
• Click for email address
• +1.609.258.1617
• Carl Icahn Labs, Princeton University, Princeton NJ 08544, USA