Mathematical oncology describes a field of science with merges principles and techniques from mathematics, modeling, and simulation to study cancer. Many techniques are used in mathematical oncology, including engineering, physics, and computational science. While mathematical oncology is not a new concept, it has recently received more focus for its involvement in developing new tools to analyze and understand big datasets resulting from genomic sequencing advances.