CMU Applied and Computational Mathematics Seminar

Fall 2020

Organizers

If you would like to give a talk, please email any one of us.

Meeting Times

Fridays, 3:00pm – 4:00pm, in Pearce 223 or online. 

Past seminars: Fall 2014, ...

Schedule

Date

Speaker

Title

9/4/20

TBA

TBA

9/11/20

TBA

TBA

9/18/20

TBA

TBA

9/25/20

TBA

TBA

10/2/20

TBA

TBA

10/9/20

TBA

TBA

10/16/20

TBA

TBA

10/23/20

Tianyu Zhang (Montana State University) 

Multiscale Flux-Based Modeling of Biofilm Communities: Linking Microbial Metabolism to Community Environment

10/30/20

TBA

TBA

11/6/20

TBA

TBA

11/13/20

TBA

TBA

11/20/20

TBA

TBA

Speaker: Tianyu Zhang
Title: Multiscale Flux-Based Modeling of Biofilm Communities: Linking Microbial Metabolism to Community Environment
Abstract: For environmental microbial communities, environment is destiny in the sense that microbial community structure and function are strongly linked to chemical and physical conditions. Moreover, most environments outside of the lab are physically and chemically heterogeneous, further shaping and complicating the metabolisms of their resident microbial communities: spatial variations introduce physics such as diffusive and advective transport of nutrients and byproducts for example. Conversely, microbial metabolic activity can strongly effect the environment in which the community must function. Hence it is important to link metabolism at the cellular level to physics and chemistry at the community level. In order to introduce metabolism to community-scale population dy- namics, many modeling methods rely on large numbers of reaction ki- netics parameters that are unmeasured and likely effectively unmeasur- able (because they are themselves coupled to environmental conditions), also making detailed metabolic information mostly unusable. The bio- engineering community has, in response to these difficulties, moved to kinetics-free formulations at the cellular level, termed flux balance anal- ysis. These cellular level models should respond to system level environ- mental conditions. To combine and connect the two scales, we propose to replace classical kinetics functions in community scale models and in- stead use cell-level metabolic models to predict metabolism and how it is influenced by and influences the environment. Further, our methodology permits assimilation of many types of measurement data. We will discuss the background and motivation, model development, and some numerical simulation results.

Speaker: TBA
Title:
Abstract: