“Cancer is a dynamic complex multiscale system that can only truly be understood via the integration of theory and experiments. The goal of the IMO is to use such an integrated approach to better understand, predict and treat cancer.”
Alexander R. A. Anderson
The IMO is partly funded by two unique NCI programs, the Integrative Cancer Biology Program (ICBP) which is focused on the analysis of cancer as a complex biological system and the Physical Sciences in Oncology Program (PS-OC) which is focused on exploring the physical laws and principles that shape and govern the emergence and behavior of cancer at all scales. With the cornerstones of integration and computation, these programs bring together a multidisciplinary community of researchers to work on key questions in cancer biology.
In keeping with both the spirit and vision of both the ICBP and PS-OC programs the main goal of the IMO is the integration of theoretical and computational modeling tools into clinical and experimental cancer research to aid in both the core understanding of cancer processes and the mechanisms that drive them. By using a range of mathematical modeling approaches targeted at specific types of cancer we will aid in the development and testing of treatment strategies. This multi-model, multi-scale approach allows for a diverse and rich interdisciplinary environment that will create many novel approaches for the treatment and understanding cancer. Crucial to our success is the true integration of theoretical models with real cancers and treatments, which requires sophisticated imaging techniques and potentially new experimental and clinical protocols. To this end the IMO is an interdisciplinary team of scientists incorporating experts in the field of experimental biology, mathematics, computer science, imaging, clinical science and visualization to name but a few.
Integrated Mathematical Oncology Department Members
Alexander Anderson, PhD
David Basanta, PhD
Robert A. Gatenby, MD
Katarzyna (Kasia) Rejniak, PhD