Our group works in the areas of robust control theory, multi-objective control, and systems biology. Our research interests lie in the modeling and analysis of biological networks, noise in biology, computational methods for stochastic biochemical networks, biological system identification, regulation in biology, control and dynamical systems, and power and energy systems.
Systems biology is the quantitative analysis of networks of dynamically interacting biological components, with the goal of reverse engineering these networks to understand how they robustly achieve biological function. We are working on a number of different projects in systems biology, some of which are described here.
Control theory deals with the behavior of dynamical systems under the
influence of mechanisms that aim to manipulate their behavior. While
control systems date back to antiquity, formal analysis began in the 19th century and is now ubiquitous in engineered systems. Now control theory is beginning to see an increasing use in fields such as
economics, sociology, and more recently in the field of biology. Read more about our control theory projects here.
Our group works to develop methods and tools required to build and analyze dynamic models of biological systems. Selected descriptions of our research projects computational methods and tools can be found here.
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