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.


April 3, 2014.  The following paper was accepted for the Journal of Computational Physics:

A. Randles, and E. Kaxiras, "Parallel in Time Approximation of the Lattice Boltzmann Method for Laminar Flows".

March 31, 2014.  The following talk was accepted for the 23rd International Conference on Discrete Simulation of Fluid Dynamics (DSFD 2014):

A. Randles, and E. Kaxiras, "A Parallel-in-time Method Applied to Lattice Boltzmann Simulations of Cardiovascular Flow".  23rd International Conference on Discrete Simulation of Fluid Dynamics (DSFD 2014).

January 23, 2014. The following paper was published in Cell Reports:

V. Almendro, Y.K. Chen, A. Randles, M. Gonen, S. Itzkovitz, A. Marusyk, E. Ametller, X. Gonzalez-Farre, M. Munoz, H. Russnes, A. Helland, I. Rye, A.L. Borressen-Dale, R. Maruyam, A. van Oudenaarden, M. Dowsett, R. Jones, J. Reis-Fiho, P. Gascon, F. Michor, and K. Polyak. "Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity. PDF.

Where will I be?

IEEE International Parallel & Distributed Processing Symposium (IPDPS) in Phoenix, Arizona from May 19-23, 2014.