Systems Biology and Biomedical Data Sciences

Tackling complex challenges in human health requires the systematic analysis of molecular, cellular, and multi-cellular processes in a quantitative framework.  Rich datasets emerge from the development and application of cutting-edge experimental methods that deeply interrogate cell-tissue-organ physiology.  Integration of these big data can only be achieved through predictive computational models that are scalable, flexible, and quantitatively rigorous.

Distinctive Features

Primary Faculty in Biomedical Data Science and Systems Biology

Joint Faculty in Biomedical Data Sciences and Systems Biology