Department faculty are engaged in a broad variety of clinical research, epidemiological studies and methodologic activities across 14 areas of concentration. In addition to the many projects that are led by departmental faculty, a unique feature of our department is the emphasis given to interdisciplinary collaboration, carrying our expertise in research methods and analysis to other departments and institutions.


Faculty focus on the development and application of computational and statistical methods to high-dimensional molecular-level data with special emphasis on genomic and proteomic problems represented by data structures deriving from contemporary high-throughput technologies. The primary research of faculty members include:

  • Cancer genomics
  • Statistical genetics
  • Comparative and functional genomics
  • Chromatin conformation capture
  • Copy-number analysis
  • Statistical phylogenetics and metagenomics
  • Computational biology
  • High-dimensional data analysis

Bioinformatics faculty

Our faculty run labs and collaborate with research teams; for example:

The Pollard Lab develops bioinformatics methods for comparative analysis of massive biological datasets, with a focus on genomics and other transformative technologies. The lab’s mission is to enable statistically rigorous, quantitative comparisons across species, developmental stages, and conditions. A major emphasis is creating open source bioinformatics software, including tools for gene expression analysis, detecting evolutionary conservation and acceleration, and quantifying abundances of microbial genes from metagenomes.

Gladstone Institute of Data Science and Biotechnology, whose mission is to decode biomedical knowledge that is missed without sensitive instruments and rigorous quantitative approaches.