Computational models are essential for assessing quantities that are otherwise immeasurable. In my research, I design large-scale parallel applications that enable the study of research problems in areas ranging from cardiovascular disease to wireless networks to drug development.

The focus of my thesis research is a large-scale model coupling the fluid dynamics of blood plasma with the movement of red blood cells from which we can start to elucidate trends and aid prognosis of cardiovascular disease based on high-resolution patient-specific data. The scale of these simulations requires the use of large-scale supercomputers, so much of my work focuses on the study method to improve the application's parallel performance.