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SUMMARY:Identification of dynamical subpopulations\, optimal experiment de
 sign and more - Alberto Giovanni Busetto\, ETH Zurich
DTSTART:20080530T100000Z
DTEND:20080530T110000Z
UID:TALK12359@talks.cam.ac.uk
CONTACT:Karsten Borgwardt
DESCRIPTION:In the talk I present some current work and introduce my resea
 rch interests. These can be summarized as machine learning approaches for 
 the reduction of uncertainty in dynamical systems\, especially in systems 
 biology.\n\nFirst\, I describe a method that\, given scarce experimental o
 bservations of the dynamics of a cell population\, estimates the presence 
 of heterogeneously parametrized cell subpopulations.\n\nThen\, I present a
 n approach to design optimal experiments for the mentioned identification 
 of dynamical subpopulations.\n\nFinally\, I propose a framework\, based on
  observability theory\, to identify models for dynamical systems\, given n
 oisy measurements and domain knowledge expressed as functional prior infor
 mation.
LOCATION:Engineering Department\, CBL Room 438
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