http://web.math.snu.ac.kr/board/files/attach/images/701/ff97c54e6e21a4ae39315f9a12b27314.png
Extra Form
Lecturer 김재경
Dept. KAIST
date Mar 24, 2016

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.   


Atachment
Attachment '1'
  1. An introduction to hyperplane arrangements

  2. What happens inside a black hole?

  3. <학부생을 위한 ε 강연> Variable-driven sociological research with data innovations

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

  5. <학부생을 위한 ε 강연> 동형암호와 근사정수론

  6. 4-manifold topology and disk embedding

  7. Hybrid discontinuous Galerkin methods in computational science and engineering

  8. The phase retrieval problem

  9. Theory and applications of partial differential equations

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

  11. <학부생을 위한 ε 강연> 압축센싱과 행렬완성

  12. <학부생을 위한 ε 강연> 수학과 예술 - 초기 컴퓨터 그래픽

  13. Faithful representations of Chevalley groups over quotient rings of non-Archimedean local fields

  14. Quasi-homomorphisms into non-commutative groups

  15. Entropies on covers of compact manifolds

  16. Iwahori-Hecke algebras and beyond

  17. On the resolution of the Gibbs phenomenon

  18. <학부생을 위한 ε 강연> What mathematics can do for the real and even fake world

  19. 31Mar
    by 김수현
    in Math Colloquia

    The process of mathematical modelling for complex and stochastic biological systems

  20. Random walks in spaces of negative curvature

Board Pagination Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Next
/ 16