Models of microbial community dynamics generally rely on some sub-system scale model for microbial metabolisms. Here we propose a model which combines cellular level metabolic flux analysis with macroscale microbial community models. The methodology easily allows coupling of macroscale information with cell-scale metabolism. In particular, we present a forward problem model which aims at predicting the system pro-file, and an inverse problem model which aims at providing uncertainty estimates when only partial data of the system is available.

A/Prof.Tian Yu Zhang graduated in mathematics from Peking University (Bachelor) in 1998, he received his M.S. in Hong Kong University of Science and Technology in 2000, and PhD in University of Minnesota, Twin Cities in 2006. During 2006-2008, he worked as a postdoctoral fellow in Florida State University. He joined Montana State University as an assistant Professor during 2008-2014, now he is an associate professor in Montana State University. Prof. Zhang’s research interests include mathematical modeling, numerical analysis and scientific computation of biofilm-related phenomena.