Computational models are essential for assessing quantities that are otherwise immeasurable.  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.

A main focus of my research is a multiscale 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 massively parallel supercomputers, so much of my work involves the development of methods to maximize parallel efficiency.

News:

July 10, 2014.  The following talk was accepted for oral presentation at the 2014 Biomedical Engineering Society (BMES) Annual Meeting.

A. Randles,  E. Draeger, and F. Michor, "Investigation of Spatio-Temporal Coupling Applied to Computational Models of Virtual Surgery". Biomedical Engineering Society (BMES) Annual Meeting, 2014.

June 27, 2014.  The following paper was accepted for oral presentation at the Computing in Cardiology Conference:

A. Randles, M. Driscoll, E. Draeger, and F. Michor, "A Feasibility Study using Image-based Parallel Modeling for Treatment Planning". Computing in Cardiology Conference  (CinC), 2014.

Where will I be?

Computing in Cardiology in Cambridge, MA from September 7-10, 2014.

Biomedical Engineering Society (BMES) Annual Meeting, in San Antonio, TX from October 22-25, 2014.

Computational Research in Boston and Beyond (CRIBB) Seminar Series at MIT, Cambridge, MA on November 7, 2014.