All 43
All 43 /Core Faculty
The development of mathematical and computational methods with probabilistic, statistical, combinatorial, or heuristic foundations continue to drive innovation in Quantitative and Computational Biosciences.
/Population Genetics
Sequencing technologies are providing unprecedented opportunities to impact studies of Evolution, Epidemiology, Disease Genes– and catalyzing new the fields of Personalized Medicine and Pharmacogenomics.
The ability to characterize the chromatin state, its three-dimensional organization, the landscapes of DNA and RNA binding proteins, and the action of regulatory RNAs throughout the genome is broadly impacting biomedical research– ranging from differentiation and development, to cancer, stem cells, and immune responses. Bioinformatic analysis tools are critical for such studies, and predictive models of how the genome is expressed are within reach.
Biological function is mediated by molecular interactions of genes and proteins. Genomic, Proteomic, and Metabolomic studies are able to characterize the cellular state in unprecedented detail. Collecting, interpreting, and referencing high throughput physical and functional interactomes reveals how cells and organisms function in health and disease.
/Systems Biology
Gene regulatory and signal-responsive networks can show complex dynamic and/or stochastic behavior. Combined experimental and theoretical studies reveal emergent properties that determine biological functions; complementary synthetic biology approaches explore and exploit the design principles of regulatory circuits.
Computational studies of protein structure, folding, and molecular interactions are critical for understanding biological function and developing therapeutic compounds. Bioinformatic and physics-based approaches have given rise to fantastic opportunities via in silico docking, screening, structure-based design and chemical genomics to impact personalized medicine.
/Precision Medicine
The availability of electronic medical records in conjunction with genome-wide analysis tools allows for unprecedented studies of multi-gene-and-environment interactions impacting human health. Non-invasive crowd-sourced data provide additional layers of life-style information that affect health, professional, athletic, and academic performance.