This episode of In Context features Quaid Morris, Principal Investigator at The Morris Lab at the University of Toronto and a member of the Vector Institute. Morris and his research team apply machine learning to understand biology, with projects ranging from cancer genomics to personalized medicine. The discussion includes a brief primer on genomics and DNA sequencing, insights into the challenges of working with genome data, examples of how new machine learning algorithms are changing genomics research, and thoughts on why translators are needed to realize the value machine learning can provide to science and in the enterprise.