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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.   


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

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

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

  5. Quasi-homomorphisms into non-commutative groups

  6. Entropies on covers of compact manifolds

  7. Iwahori-Hecke algebras and beyond

  8. On the resolution of the Gibbs phenomenon

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

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  11. Random walks in spaces of negative curvature

  12. Solver friendly finite element methods

  13. Brownian motion and energy minimizing measure in negative curvature

  14. 학부생을위한ε강연: 수학자는 왜 선망되는 직업일까?

  15. Generalized multiscale HDG (hybridizable discontinuous Galerkin) methods for flows in highly heterogeneous porous media

  16. Weyl character formula and Kac-Wakimoto conjecture

  17. Nonlocal generators of jump type Markov processes

  18. 정년퇴임 기념강연: 회고

  19. <학부생을 위한 강연> 사색 정리를 포함하는 Hadwiger의 추측의 변형에 관하여

  20. The classification of fusion categories and operator algebras

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