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강연자 김재경
소속 KAIST
date 2016-03-24

The revolution of molecular biology in the early 1980s has revealed complex network of non-linear and stochastic biochemical interactions underlying biological systems. To understand this complex system, mathematical models have been widely used. In this talk, I will introduce the typical process of mathematical modelling including mathematical representation, model fitting to data, analysis and simulations, and experimental validation. Across each step of modelling process, I will also describe our efforts to develop a new mathematical tools and point to the parts of current toolbox of mathematical biology that need further mathematical development. Finally, I will present how mathematical modelling reveals the key mechanism underlying circadian clocks.   


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첨부 '1'
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  3. Hybrid discontinuous Galerkin methods in computational science and engineering

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  5. Theory and applications of partial differential equations

  6. Analysis and computations of stochastic optimal control problems for stochastic PDEs

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    The process of mathematical modelling for complex and stochastic biological systems

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