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