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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'
  1. Sheaf quantization of Hamiltonian isotopies and non-displacability problems

  2. Solver friendly finite element methods

  3. Space.Time.Noise

  4. Spectral Analysis for the Anomalous Localized Resonance by Plasmonic Structures

  5. Structural stability of meandering-hyperbolic group actions

  6. Structures of Formal Proofs

  7. Study stochastic biochemical systems via their underlying network structures

  8. Subgroups of Mapping Class Groups

  9. Subword complexity, expansion of real numbers and irrationality exponents

  10. Sums of squares in quadratic number rings

  11. Symmetry Breaking in Quasi-1D Coulomb Systems

  12. Symplectic Geometry, Mirror symmetry and Holomorphic Curves

  13. Symplectic topology and mirror symmetry of partial flag manifolds

  14. The classification of fusion categories and operator algebras

  15. The Lagrange and Markov Spectra of Pythagorean triples

  16. The Mathematics of the Bose Gas and its Condensation

  17. The phase retrieval problem

  18. 31Mar
    by 김수현
    in 수학강연회

    The process of mathematical modelling for complex and stochastic biological systems

  19. The Shape of Data

  20. The significance of dimensions in mathematics

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