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. Predicting the location of secondary tumor sites is a critical hurdle in the understanding and treatment of cancer. The goal of this research is to develop a method of predicting likely sites of cancer metastasis using a combination of personalized massively parallel computational models and experimental approaches.


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.  I am currently hiring one postdoctoral fellow:

Position:  Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, Livermore, CA

Where will I be?

University of San Diego, San Diego, CA from January 22-23, 2015.

University of Southern California, Los Angeles, CA from February 3-4, 2015.

Duke University, Durham, NC from February 17-18, 2015.

Workshop on Spatiotemporal Dynamics of Single Cell Trafficking, University of Southern California, Los Angeles, CA from February 20-21, 2015.

TTI/Vanguard: Biotech and Beyond, San Diego, CA from February 23-25, 2015.

Northeastern University, Boston, MA from March 4-5, 2015.

The University of Texas at Austin, Austin, TX from March 13-14, 2015.

NCI-NSF joint workshop for Tumor Engineering, Bethesda, MD from April 1-2, 2015.

Workshop on Predictive Vascular Modeling, Livermore, CA from April 27-28, 2015.

Supercomputing SC15 Technical Paper Committee Meeting, Austin, Texas, from June 22-23, 2015.