Welcome to the Graham Lab!
We focus on using systems biology approaches to understand cancer and other human diseases. We integrate proteomic, metabolomic and genomic data to create data-driven computational models that predict biological phenotypes across multiple components and time scales. Drawing on engineering, biology and statistics, we iterate between experimental and computational systems to formulate predictive models of cancer phenotypes. To enable translation of these models into the clinic, we actively collaborate with physician scientists and oncologists.
We are actively recruiting talented and motivated students and postdocs. Please see positions open for more information.