Division members work together with clinical investigators to transform the many pieces of data into actionable knowledge. Quantitative science methodologies are indispensable for advancing the understanding of cancer etiology, prevention, and therapeutic intervention.

Division members apply state-of-the-art methodologies and, when appropriate, invent new methodologies to advance data-driven, team data science. The Division is committed to the highest standard of scientific practice and ethics, supporting principled design of clinical trials and experiments, rigorous execution, transparent reporting, reproducible research, and software development. 

Dissemination of quantitative science resources throughout the SKCCC are supported through the two shared resources housed in the Division: Biostatistics and Data Science. Collaboration among members of the Division and other quantitative scientists from Departments across Johns Hopkins University Schools enables the rapid embedding of cutting-edge methodological advances into cancer research. Collaborations with University-wide initiatives such as Precision Medicine, Artificial Intelligence, and Convergence Science promote the dissemination of quantitative biomedical research. The Division also coordinates various educational activities to empower the next generation of cancer biologists and clinical investigators in quantitative science methodologies and study design. Through these efforts, the Quantitative Sciences Division leads state-of-the-art computing for cancer research and pioneers computational pipelines applicable to biomedical research at large.