Data-driven multiscale modeling of cell fate dynamics

发布时间：2018-06-25 作者：浏览次数：

Speaker:	Qing Nie	DateTime:	2018年6月26日（周二）上午10:30-11:30
Brief Introduction to Speaker: Qing Nie,University of California.		Place:	六号楼二楼报告厅
Abstract:Cells make fate decisions in response to different and dynamic environmental and pathological stimuli. Recent technological breakthroughs have enabled biologists to gather data in previously unthinkable quantities at single cell level. However, synthesizing and analyzing such data require new mathematical and computational tools, and in particular, understanding multiscale cellular dynamics emerging from molecular and genomic scale details demands new multiscale modeling. In this talk, I will present our recent works on analyzing single-cell molecular data, and their connections with cellular and spatial tissue dynamics. Our mathematical approaches bring together optimization,statistical physics, ODEs/PDEs, and stochastic simulations along with machine learning techniques.