John Storey

John Storey serves as the William R. Harman '63 and Mary-Love Harman Professor in Genomics at Princeton University's Lewis-Sigler Institute for Integrative Genomics. His research develops quantitative methods for high-dimensional genomic data analysis to unravel biological regulatory networks and complex trait mechanisms through integration of multi-omics data sources including genotyping, expression profiling, and proteomics.

His research spans core areas:

• Statistical and Computational Genomics
• Population and Evolutionary Genomics
• Machine Learning for High-Dimensional Data
• Causal Inference Frameworks
• Biological Network Reconstruction
• Genomic Variation Analysis

Analysis of recent publications (2019-2024) reveals consistent innovation in population genetics methodology, particularly in admixture analysis, kinship estimation, and causal genotype-phenotype mapping. His work emphasizes rigorous statistical frameworks for genomic data integration, with applications spanning malaria pathogenesis, cancer biology, and psychiatric pharmacogenomics.

Dr. Storey actively mentors graduate students through Princeton's QCB program:

• Current: Danfeng Chen, Wei Hao, Yushi Tang, Alvin Zhang
• Alumni: Andrew J. Bass, Neo C. Chung, Emily S. Nelson, David G. Robinson

The Storey Lab for Statistical Genomics operates as a multidisciplinary unit within the Lewis-Sigler Institute, bringing together researchers from statistics, computer science, mathematics, physics, and biology. Its mission emphasizes rigorous, open, and well-communicated data-driven discovery in biological sciences, with active involvement in NIH NHGRI Training Programs and Princeton's QCB Graduate Program.