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BEGIN:VEVENT
DTSTAMP:20261019T001445Z
LAST-MODIFIED:20181108T191532Z
DTSTART:20181129T203000Z
DTEND:20181129T213000Z
UID:event2039@bu.edu
URL:http://physics.bu.edu/internal/events/show/2039
SUMMARY:Statistical Physics of Information Processing by Cells
DESCRIPTION:Featuring Ching-Hao Wang\n\nPart of the PhD Final Oral Exams.\n
	\nExamining Committee:  Pankaj Mehta\, Kirill Korolev\, Claudio Chamon (Cha
	ir)\, Liam Fitzpatrick\, Allyson Sgro\n\nAbstract:\n\nThis talk aims to pro
	vide a physics account of cells’ ability to integrate environmental infor
	mation to make complex decisions\, a process commonly known as signaling. I
	t strives to address the following questions: (i) How do cells relate the s
	tate of the environment (e.g. presence/absence of specific molecules) to a 
	desired response such as gene expression? (ii) How can cells robustly trans
	fer information? (iii) Is there a biophysical limit to a cells' ability to 
	process information? (iv) Can we use the answers to the above questions to 
	formulate biophysical principles that inform us about the evolution of sign
	aling? Throughout\, I borrow techniques from non-equilibrium statistical ph
	ysics\, statistical learning theory\, information theory and information ge
	ometry to construct biophysical models capable of making quantitative exper
	imental predictions. I conclude with a discussion of our theory and its imp
	lications for synthetic biology.
LOCATION:SCI 328\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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