Yang Cao BlacksburgAssistant Professor
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Research Interests
Dr. Cao's research interests are in computational science and engineering. He has worked in the field of numerical solution of differential-algebraic equations (DAEs), sensitivity analysisfor DAEs and ordinary differential equations (ODEs), error estimation and control for linear systems and ODEs, and stochastic simulation for biochemical systems. He has made significant contribution in the stochastic algorithms related to multi-scale problems. The implicit tau-leapingmethod and the slow-scale SSA method proposed by him and his collaborators have become a hot topic in this area.
Computational Biology Lab
URL: people.cs.vt.edu/~ycao
Contact: Yang Cao
Our group focuses on the development of multiscale, multiphysics modeling and simulation methods and tools that help biologists build, simulate and analyze complex biological systems, simulate their dynamics and analyze their functions. Typical biological models include gene expression models, protein interaction networks, and cell cycle models. We are paricularly interested in applications where multiple scales and multiple physics are presented, and has to be modeled in a hybrid way that include both discrete and continuous variables, deterministic and stochastic equations.
We work at the interface of mathematics, computer science, biology and other related subjects. Due to the interdisciplinary feature, we collaborate with other groups with different background.
Laboratory for Advanced Scientific Computing and Applications
URL: http://research.cs.vt.edu/~lasca/
Contact: Layne Watson
The goal of the Laboratory for Advanced Scientific Computing and Applications (LASCA) is to provide expertise and leadership in high-end scientific computing research and education at Virginia Tech. Located in Torgersen Hall, the laboratory is a visible and strategic center of activity in applied high-computation and assist scientists and engineers in applying high-end computing resources to their problems. By bringing together experts in scientific cp\omputing and its applications, LASCA helps build the kind of multidisciplinary teams needed to address today's most challenging computational science problems.
Multiscale Modeling and Computation
Contact: Yang Cao3000 Level Courses
5000 Level Courses
6000 Level Courses
Mitochondrial Deoxynucleotide Metabloism And Disease
Granting Institution: National Institute for General Medial Sciences
Amount: $30,252
Multiscale Modeling Simulation And Sensitivity Analysis of Biochemical Systems Motivated By Pulsatile Insulin Secretion
Granting Institution: National Science Foundation
Amount: $131,568
Stochasitic Models Of Cell Cycle Regulation In Eukaryotes
Granting Institution: National Institute of General Medical Sciences
Amount: $216,240

