學術報告

報告人：牛原玲（中南大學）

個人簡介：牛原玲，中南大學副教授。研究方向為系統生物學中的随機建模及數值模拟。2011年于88858cc永利獲理學博士學位，導師為張誠堅教授。2010年3月到2011年2月在牛津大學計算機系聯合培養，導師為Kevin Burrage教授。2011年7月起至今就職于中南大學88858cc永利。2013年至2015年在中科院上海生命科學研究院陳洛南研究員課題組從事博士後研究。

報告題目：A study on stochastic models and their numerical simulation of biochemical reaction systems and cancer cells

報告時間：2016年4月29日（星期五）下午15:00-16:00

報告地點：科技樓南樓702

報告摘要：In the talk, we first give a new framework for modelling and simulating biochemical reaction systems by reflected stochastic differential equations. The model is computationally efficient compared with the discrete-state Markov chain approach, and it ensures that both analytic and numerical solutions remain in a biologically plausible region.


In the second part of the talk， we present a stochastic multi-phenotype branching model by integrating conventional cellular hierarchy with phenotypic plasticity mechanisms of cancer cells.It is shown that the emergence of the phenotypic equilibrium is rooted in the stochastic nature of (almost) every sample path, the average-level stability just follows from it by averaging stochastic samples.