Cancer Biology Program

About Cancer Systems Biology

The Stanford Cancer Biology PhD Program is pleased to announce a new track focused on Cancer Systems Biology. Our objective is to train a new generation of researchers in cancer biology who are adept at computational analysis of complex molecular data of cancer.

The emergence of high throughput (HTP) technologies that probe global DNA, RNA and protein expression as well as cellular state has spawned a systems approach to cancer biology research that integrates experimental and computational methods in the synthesis and testing of new biological hypotheses. Our new program in Cancer Systems Biology will emphasize these principles with a focus on two broad areas. The sub-discipline will allow students better to investigate how to apply computational approaches to HTP data analysis to enable the discovery of molecular drivers and networks critical to cancer initiation, progression and treatment, and the discovery of novel methods for developing diagnostics and therapies.

Students will work with researchers that investigate and develop mathematical formulations of known or conjectured signaling pathways that enable computer simulation of cellular and molecular dynamics. Researchers in this field will be expected to derive biologically relevant computational predictions that are subsequently experimentally validated. Researchers with either a background in statistics, mathematics, engineering, computer science, a related quantitative field, or who have a primary background in biology and would like to acquire such quantitative skills and who desire to apply these skills to answering pressing questions in cancer biology are encouraged to apply.

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