My research interests can be broadly described as the application of mathematical techniques to further understanding in the medical world. I use mathematical modeling and data analytics to improve the delivery of health care -- helping decision makers take more informed actions, reduce inefficiencies, act preemptively, and ultimately improve health outcomes.
I have completed a PhD in Bioengineering, specifically in developing computational models of the lungs in order to deepen our understanding of pulmonary physiology. The models incorporated the biophysics and biochemistry of pulmonary processes in patient-specific geometries derived from CT imaging. In this way we were able to simulate lung function and apply controlled variations in virtual experiments in the "virtual lungs". Ultimately, these models can be used in the clinic to support treatment decisions.