Abstract: New computational opportunities and challenges have emerged within the cancer research and clinical application areas as the size, number, variety, and complexity of cancer datasets have grown in recent years. Simultaneously, advances in computational capabilities, with exceptional growth in deep learning, are expected to continue to reach unprecedented scales. Such opportunities to impact cancer computationally are underscored in the 2016 US Twenty-first Century Cures Act and international efforts such as the ITCC-P4 focusing on development treatments for pediatric cancer. The workshop focuses on bringing together interested individuals ranging from clinicians, mathematicians, data scientists, computational scientists, engineers, developers, leaders and others with an interest in advancing the use of computation at all levels to better understand, diagnose, treat and prevent cancer. As an interdisciplinary workshop, the cross-disciplinary sharing of insight and challenges fosters collaborations and future innovations to accelerate the progress in computationally and data driven cancer research and clinical applications. A special emphasis for the 2019 workshop is the role of computing in drug discovery for cancer, with a special emphasis on the role of AI, machine learning, and deep learning approaches applied to drug discovery and precision medicine.