Cancer patient and experimental data have been growing at an exponential rate during the last decade and now incorporate a range of biological scales (molecular, cellular, tissue, organ) and diverse techniques (gene expression, histological staining, imaging), however, these data are severely underutilized in current clinical decision processes. Appropriate quantitative models are essential to understand the complex dynamics of the evolving non-linear system that is cancer.
The Integrated Mathematical Oncology Major will provide students a unique foundation of knowledge and practical experience in the rapidly advancing arena of mathematical oncology. Students will also train alongside individuals studying other areas of cancer biology, providing a broad base of understanding of cancer and increasing the potential for interdisciplinary research. Graduates of this major will be positioned to enter the technological workforce ready to discover and implement quantitative models and model analysis in experimental and clinical areas that will have a key impact on cancer patient therapy.
The main research areas include:
- Develop phenomenological mathematical models of tumor development, growth and invasion as well as treatment response
- Develop data-driven quantitative models to answer specific biological or clinical questions
- Research project work that include development, implementation, analysis and solution of topic-driven mathematical models