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DTSTAMP:20260828T164748Z
LAST-MODIFIED:20180131T154436Z
DTSTART:20180205T173000Z
DTEND:20180205T183000Z
UID:event1914@bu.edu
URL:http://physics.bu.edu/internal/events/show/1914
SUMMARY:"Statistical Mechanics of Microbial Communities"
DESCRIPTION:Featuring Robert Marsland\, Boston University\, Department of P
	hysics\n\nPart of the Biophysics Seminars.\n\nMicrobiomes are complex syste
	ms\, composed of many different kinds of components that interact strongly 
	with each other and with their environment. This dense network of interdepe
	ndencies makes it extremely challenging to identify meaningful patterns in 
	observational data and to engineer controlled interventions. Some progress 
	is being made thanks to the ever-growing stream of data from in vivo measur
	ements and from in vitro experiments with natural isolates. But the in vivo
	 data remains difficult to interpret thanks to the abundance of uncontrolla
	ble variables\, and the in vitro experiments are hampered by the absence of
	 reliable intuition about which parameters are most import to control and u
	seful to measured. To address these challenges\, we have developed a framew
	ork for rapidly iterating "in silico" experiments\, where all the details o
	f the population dynamics are precisely defined and available for analysis.
	 In this talk\, I will describe the statistical model that forms the core o
	f this framework\, and then show how the diversity of our randomly generate
	d microbial communities depends on parameters like nutrient abundance and c
	rossfeeding rates.
LOCATION:SCI 328\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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