Cancer is caused by mutations in the DNA of cells that drive changes in molecular processes. To investigate cancer, for studies such as The Cancer Genome Atlas and The International Cancer Genome Consortium, it is not only the DNA of samples that is profiled but additional orthogonal data are generated to profile the epigenetics, transcriptomics and proteomics of the same samples.
We research cancer to answer questions about the fundamental biology (why cancers arise, why some people are more at risk), but also to impact clinical pathways (can we better predict outcomes, can we identify new treatment options). This work in turn often requires the development of new methods and new software (e.g. to maximize the data from new technologies, to combine different types of data, to meta-analyse previously published data with our own) or new experimental designs. Prof Lynch welcomes applications from students wanting to work on the applied analysis of molecular data from prostate cancer, or the development of novel methods for cancer research.
For more information, please see the School's Postgraduate Research page, and in particular the information about Statistics PhD opportunities.