Research Interests:
Computational modeling of growth factor-receptor networks, personalized medicine, therapeutic cardiovascular remodeling, novel methods for data visualization and automated image analysis

Applications of Mac Gabhann’s research could improve therapies in a broad range of disease areas, including vascular diseases, cancer, HIV, and gynecological disorders. Using computational models of the transport and signaling of VEGF, he tests therapies to inhibit or block the signaling pathways that lead to vascularization of tumors and metastasis in cancer. He also tests therapies to promote or increase signaling that leads to increased perfusion of muscle and other tissues vulnerable to ischemia, or lack of blood.