Functional Genomics

Functional genomics integrates genome-wide technologies, computational modeling, and laboratory validation to systematically investigate the molecular mechanisms driving human disease.

Researchers in the Department of Genetics and Genomic Sciences (GGS) bring together experimental and computational expertise to apply functional genomics across a wide range of diseases. Recent achievements include:

  • Perturb-map: Development of a spatial functional genomics platform that enables parallel knockout of dozens of genes in a mouse model of lung cancer, with simultaneous assessment of the effects on tumor growth, histopathology, and immune cell composition.
  • Multi-omic technologies: Advancement and application of bulk, single-cell, and spatial multi-omic techniques, coupled with robust data integration methods, to generate and interpret large-scale, multidimensional datasets that drive discovery and inform clinical translation.
  • Gene regulatory networks: Development of computational frameworks to map gene regulatory networks and uncover the functional roles of disease-associated genes and variants at the cellular level.
  • Neuropsychiatric applications: Use of multimodal neuroimaging and genomic data to enhance the diagnosis of psychiatric disorders and support the development of targeted therapeutics.

Genetics and Genomic Sciences Faculty