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Yang Cao Joins Computer Science Department |
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 Yang Cao has
recently joined the Computer Science Department as an Assistant
Professor. Dr. Cao's research and teaching interests are
in computational biology and scientific computing. He will
join the large number of faculty members and students working
in these areas in the Computer Science Department; he will
also collaborate with colleagues in the Department
of Biology and in the Virginia Bioinformatics Institute.
Dr. Cao has spent the previous three years as a post-doctoral researcher
and a project scientist in the Department of Computer Science,
University of California, Santa Barbara (UCSB). In this position, his research
focused on algorithms and software for efficient stochastic simulation of
biochemical systems. His group studied stiffness in stochastic
biomedical simulation and developed the
StochKit
software framework.
Cao received his doctorate from UCSB in March of 2003. His
undergraduate and master's degrees are in mathematics from Tsinghua
University of Beijing, China, earned in 1993 and in 1998, respectively.
While working on his doctorate, Cao focused on the sensitivity and
error analysis of linear systems,
matrix equations, and differential-algebraic systems.
Along with Professor Linda Petzold, he proposed the theory of
adjoint sensitivity analysis for differential-algebraic equations
and an a posteriori error estimation method for a general computational model.
The adjoint method was implemented in the software DASPK3.1.
The a posteriori error estimation method for ODEs is in use by
collaborating researchers from Lawrence Livermore National Laboratory.
Cao's current research focuses on: stochastic simulation of biochemical
systems; multiscale algorithms and software; sensitivity and uncertainty
analysis, robustness in biological systems;
error and condition estimation for computational systems; and
numerical methods for Ordinary Differential Equation and
Differential Algebraic Equation systems.
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