Associate Professor of Intelligent Systems Engineering
Member, IU Melvin and Bren Simon Cancer Center
Jayne Koskinas Ted Giovanis Foundation for Health and Policy Partnership
Seeking to understand the timing and requirements for metastasis.
Mathematical and cancer biology combine to chart the process of metastasis.
These innovative cross-disciplinary studies will accelerate our understanding of metastasis and guide new therapy development to prevent metastasis in breast cancer survivors.
Hypoxia, or low amounts of oxygen, is a feature of most breast tumors and is associated with breast cancer metastasis and poor outcomes.
In this project co-funded by BCRF and Jayne Koskinas Ted Giovanis Foundation for Health and Policy, Dr. Macklin’s computational expertise and Dr. Gilkes’ tumor biology expertise combine to gain novel insights in tumor growth and metastasis.
Drs. Macklin and Gilkes will use a signal to detect low oxygen levels to label and track cancer cells during tumor progression. They will then use mathematical modeling approaches to combine experimental time course data analyzed with digital pathology of primary and metastatic sites to understand the timing and prerequisites for metastasis.
Dr. Paul Macklin is an applied mathematician in the newly-established Department of Intelligent Systems Engineering at Indiana University. Dr. Macklin works with teams of clinicians, modelers, and biologists to develop and validate sophisticated computer models of cancer. These models simulate the dynamics of millions of cells in realistic 3-D tissues, using powerful open source software developed by his lab. Dr. Macklin has pioneered methods to adapt computer models to individual cancer patients and predict response to treatment choices. He founded and co-leads the MultiCellDS project to create a “data language” that will help cancer scientists to share and combine experimental, clinical, and simulation data. His work is creating an open library of digital cell lines: a novel data model of experimental cell line measurements for use in cancer simulators. Dr. Macklin’s overarching goal is to create computational tools that accelerate biological research and assist clinicians and their patients in making treatment decisions.