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.
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.