My research is focused on evaluating treatment response in breast cancer through non-invasive imaging techniques and modeling applications in order to improve patient treatment. Specifically, my work focuses on three main areas. First, I evaluate the potential of magnetic resonance imaging (MRI) biomarkers to non-invasively predict, at an early time point, patient response to therapy. Secondly, I am developing and applying a computational model of patient-specific treatment response to evaluate whether we can accurately predict an individual patient’s response to a specific therapy and dosing strategy, prior to treatment, in order to drive the selection of therapeutic regimen for that individual. And finally, I am involved in evaluating the effect of diffusion on quantitative dynamic contrast-enhanced MRI-derived parameters and investigating ways to improve current models to account for these effects.