MFBM-MS11

# Stochastic Systems Biology: Theory and Simulation

#### Wednesday, June 16 at 02:15am (PDT)

Wednesday, June 16 at 10:15am (BST)

Wednesday, June 16 06:15pm (KST)

**MS12-MFBM**(click here).

**Organizers:**

#### Jae Kyoung Kim (Department of Mathematical Sciences, KAIST, Republic of Korea), Ramon Grima (University of Edinburgh, United Kingdom)

**Description**:

Biological systems consist of a large number of species with reactions which occur in multiple spatio-temporal scales. Because performing stochastic simulations of such systems are computationally expensive and prohibitive, various strategies to reduce the computational cost have been investigated, e.g. quasi-state-state approximation or hybrid methods. Also it is of interest how the interaction between different scales, e.g. between cellular and tissue scales, affects noise at the single cell level. In this mini-symposium, the focus will be on recent research reporting on advances in this area. Furthermore, the application of these methods to investigate embryonic development, cell size homeostasis and cell movement will be presented.

#### Zhixing Gao

*(Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, China)*

###### "Neural network aided approximation and parameter inference of stochastic models of gene expression"

#### Abhyudai Singh

*(University of Delaware, USA)*

###### "Modeling stochasticity in timing of intracellular events: A first-passage time approach"

#### Thomas Prescott

*(Alan Turing Institute, United Kingdom)*

###### "Learning a multifidelity simulation strategy for likelihood-free Bayesian inference."

#### Ruben Perez-Carrasco

*( Imperial College London, United Kingdom)*