Cancer inflicts a heavy toll on our society. One out of seven women will be diagnosed with breast cancer during their lifetime, a fraction of them contributing to about 450,000 deaths annually worldwide. Despite billions of dollars invested in cancer research, our understanding of the disease, treatment, and prevention is still limited. Majority of cancer research today takes place in biology and medicine. Computer science plays a minor supporting role in this process if at all. We firmly believe that recent advances in machine learning, natural language processing and computer vision can revolutionize cancer care. Data collected about millions of cancer patients -- their pathology slides, imaging, and other tests -- contain answers to many open questions in oncology. We are developing algorithms that can learn from this data to improve models of disease progression, prevent over-treatment, and narrow down to the cure. All of our algorithms are publically available to the research community.