The PIMS Postdoctoral Fellow Seminar: Eric Jones
Topic
Stochasticity in an ecological model of the microbiome influences the efficacy of simulated bacteriotherapies [video]
Speakers
Details
Abstract:
We consider a stochastic bistable two-species generalized Lotka-Volterra model of the microbiome and use it as a testbed to analytically and numerically explore the role of direct (e.g., fecal microbiota transplantation) and indirect (e.g., changes in diet) bacteriotherapies. Two types of noise are included in this model, representing the immigration of bacteria into and within the gut (additive noise) and variations in growth rate associated with the spatially inhomogeneous distribution of resources (multiplicative noise). The efficacy of a bacteriotherapy is determined by comparing the mean first-passage times (the average time required for the system to transition from one basin of attraction to the other) with and without the intervention. Concepts from transition path theory are used to investigate how the role of noise affects these bacteriotherapies.
Speaker Biography:
Eric Jones is a PIMS and Banting Postdoctoral Fellow at SImon Fraser University. He is working with David Sivak (SFU Physics) to explore the role of stochastic fluctuations in ecological models of the microbiome.
This event is part of the Emergent Research: The PIMS Postdoctoral Fellow Colloquium Series.
Additional Information
This event took place via zoom and a recording is available on mathtube.org.
Eric Jones, SFU