Computational models are essential for assessing quantities that are
otherwise immeasurable. In general, my work focuses on the design
of large-scale parallel applications targeting problems in physics. 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 recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. 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. Through funding provided by my recent NIH Early Independence Award, I am expanding the scope of projects to address not only vascular diseases, but also treatment planning and the movement of circulating tumor cells in the bloodstream.
News:October 31, 2014. The following paper was accepted to Contributions to Plasma Physics (CPP):
H.D. Whitley, Ch.R. Scullard, L.X. Benedict, J.I. Castor, A. Randles, J.N. Glosli, D.F. Richards, M.P. Desjarlais, and F.R. Graziani. “Lenard-Balescu Calculations and Classical Molecular Dynamics Simulations of Electrical and Thermal Conductivities of Hydrogen Plasmas.” Contributions to Plasma Physics.
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.
Join the team working on computational hemodynamics. We are currently hiring two postdoctoral fellows:
Focus: Parallel Computing
Position: Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, Livermore, CA
Focus: Computational Fluid Dynamics
Position: Postdoctoral Researcher at the Dana-Farber Cancer Institute, Boston, MA
Where will I be?
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.Supercomputing SC15 Technical Paper Committee Meeting, Austin, Texas, from June 22-23, 2015.