Researchers within the Duke BME community focus on the study and advancement of computational methods and data analysis techniques to understand biological phenomena.
This quantitative research uses modeling and simulation, high-performance computing, and large-scale data analysis to create testable hypotheses about mechanisms driving complex biological function.
At Duke, this research spans many application areas including electrophysiology, patient-specific hemodynamics, cellular mechanisms, gene circuits, and synthetic biology. Researchers in this area are broadly interactive with departments throughout the university, including clinical departments of the Duke University School of Medicine, the 'big data' Information Initiative at Duke (iiD), the Duke Cancer Institute, and the academic departments of Computer Science and Mechanical Engineering and Materials Science.
