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X-WR-CALNAME:Machine learning for genomic medicine: Uncovering hidden struc
 ture to derive meaningful relationships - Sara Mostafavi\, Assistant Profe
 ssor\, UBC
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TZUNTIL:20211107T090000Z
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DTSTART:20191103T020000
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RDATE:20201101T020000
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CREATED:20200121T162412Z
DESCRIPTION:Bio: Sara Mostafavi is an Assistant Professor at the Department
  of Statistics and the Department of Medical Genetics at University of Bri
 tish Columbia (UBC)\, and a faculty member at the Vector Institute. She ho
 lds a Canada Research Chair (CRC II) in Computational Biology\, a Canada C
 IFAR Chair in Artificial Intelligence (CIFAR-AI)\, and I is a CIFAR fellow
  in the Child and Brain Development program. Before arriving at UBC\, Sara
  did her postdoctoral fellowship with Daphne Koller at Stanford University
 . and obtained a PhD in Computer Science from the University of Toronto in
  2011. Sara's research…
DTSTART;TZID=America/Vancouver:20200124T150000
DTEND;TZID=America/Vancouver:20200124T160000
LAST-MODIFIED:20210611T165548Z
LOCATION:BIOL 2200\, 6270 University Blvd\, Vancouver\, BC V6T 1Z4
SUMMARY:Machine learning for genomic medicine: Uncovering hidden structure 
 to derive meaningful relationships - Sara Mostafavi\, Assistant Professor\
 , UBC
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/machine-learning-genomic-medicine-uncovering
 -hidden-structure-derive-meaningful-relationships
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