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:

October 6, 2014.  Amanda receives the NIH Early Independence Award. Given through the NIH Common Fund as part of its "High-Risk, High-Reward Program", this award provides a mechanism for exceptional early career scientists to move rapidly into independent research positions by essentially omitting the traditional post-doctoral training period. LLNL Press Release.

October 3, 2014. Amanda is awarded a Tier Two allocation in the 9th Institutional Unclassified Computing Grand Challenge at Livermore National Laboratory for the proposal titled "Studying the Impact of Physiological Conditions on Cardiac Risk Factors". This will provide substantial compute time on the Vulcan and Sierra supercomputers.

October 1, 2014. DOE Lab Directed Research and Development (LDRD) Lab-wide Research Grant, "Validating Large Fluid Dynamics Simulations of Complex Geometries with 3D Printing", receives two years of funding.

September 10, 2014.  The following paper is selected as an Honorable Mention for the Young Investigator Award 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?

Biomedical Engineering Society (BMES) Annual Meeting, 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.

2014 NIH Common Fund High-Risk High-Reward Symposium, Bethesda, MD, from December 15-17, 2014.

TTI/Vanguard Biotech and Beyond, San Diego, CA from February 24-25, 2015.