The promise of precision medicine to provide more effective and safer cancer therapies that target the genetics driving each patient’s disease has been hindered by the lack of understanding of the specific genetic alterations underlying many cancers. Elana Fertig thinks math can solve that problem. Fertig, with a nod to the algorithm Netflix uses to help recommend movies users might like, is working to identify the genes that drive an individual’s cancer. Fertig, assistant professor of Oncology Biostatistics and Bioinformatics at Johns Hopkins Kimmel Cancer Center, discussed the proliferation of genetic data relating to cancer, how researchers may be able to capitalize on that, and how such an approach may also bring a new understanding of why patients suffer relapses and develop resistance to cancer therapies.