Mathematical reconstruction of cancer networks

This project will develop the first executable GRN model of HIF1 signaling. The model will be trained using data from cell line experiments and clinical studies. This will enable the discovery of new HIF1 targets and generation of testable biological hypotheses on their biology, which we will validate in the lab. It will also highlight candidate therapeutic targets, and inform the design of future biomarker studies.

The student will work closely with members of Prof Buffa’s CRUK Functional Genomics and ERC Tumour Microenvironment Modelling labs, and collaboration with Prof Saez-Rodriguez group. Importantly, we expect the results produced in this project will have broader methodological impact on the development of integrative genomic approaches.