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X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Causality and Autoencoders in the Light of Drug Repurposing fo
 r COVID-19 - Caroline Uhler\, Associate Professor\, MIT
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TZID:America/Vancouver
TZUNTIL:20231105T090000Z
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DTSTART:20211107T020000
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TZOFFSETTO:-0800
RDATE:20221106T020000
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DTSTAMP:20260430T144304Z
CLASS:PUBLIC
CREATED:20211210T185834Z
DESCRIPTION:Please register for this event here. Abstract: Massive data col
 lection holds the promise of a better understanding of complex phenomena a
 nd ultimately\, of better decisions. An exciting opportunity in this regar
 d stems from the growing availability of perturbation / intervention data 
 (for example in genomics\, advertisement\, education\, etc.). In order to 
 obtain mechanistic insights from such data\, a major challenge is the deve
 lopment of a framework that integrates observational and interventional da
 ta and allows causal transportability\, i.e.\, predicting the effect of ye
 t unseen interventions or…
DTSTART;TZID=America/Vancouver:20220301T140000
DTEND;TZID=America/Vancouver:20220301T150000
LAST-MODIFIED:20211211T000307Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Causality and Autoencoders in the Light of Drug Repurposing for COV
 ID-19 - Caroline Uhler\, Associate Professor\, MIT
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/causality-and-autoencoders-light-drug-repurp
 osing-covid-19-caroline-uhler-associate-professor
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