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SUMMARY:A multi-disciplinary approach to create outbreak prevention tools 
 for researchers\, clinicians and cititzens
DTSTART:20190910T100000
DTSTAMP:20260405T232310Z
UID:2593382079562e673f24e7d4efad0b96764476c4c52a2ff64045384c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Andres Colubri\, PhD MFA\nBroad Institute of MIT and Harvard\n
 \nIn this talk\, I will give an overview of my path as a multi-disciplinar
 y researcher\, describing projects ranging from computational information 
 design to simulations of infectious disease outbreaks\, and how this exper
 ience led me to the development of novel biomedical tools combining data v
 isualization\, machine learning\, and mobile technologies. I will focus on
  some ongoing projects dealing with the collection and modeling of infecti
 ous disease data\, and will discuss the challenges associated with obtaini
 ng field data while preserving patient privacy\, as well as deriving machi
 ne learning models that can be generalized to new cohorts and eventually h
 ave an impact in outbreak response.\n\n 
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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