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

Kristen Naegle

"I am very excited to be part of a department whose faculty members routinely use data- and computationally driven approaches to gain insight into biological problems. This is relatively unusual."

Kristen Naegle joined the department in Fall 2018

Primary Faculty in Biomedical Data Science and Systems Biology

Joint Faculty in Biomedical Data Sciences and Systems Biology