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DTSTART:20241103T020000
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DESCRIPTION:When\, Why\, and How Deep Learning Models Work in Genomics And
 rew Carroll\, PhD\, leads product development for the genomics team in Go
 ogle Research. The genomics team develops open-source methods which help 
 scientists generate and analyze genome sequencing data\, such as DeepVari
 ant\, DeepSomatic\, DeepConsensus\, and DeepPolisher\, as well as machine
 -learning methods to determine phenotypes from imaging and time-series da
 ta (fundus imaging\, spirometry\, ECG\, PPG). Andrew collaborates with co
 nsortia including the Human Pangenome Project and Genome in a Bottle. Pri
 or to Google\, Andrew was Chief Scientific Officer at DNAnexus\, where he
  supported many of the first large-scale genomics projects\, such as the 
 CHARGE Consortium\, Regeneron-Gesinger and Regeneron-UKBiobank cohorts\, 
 the 3000 Rice Genomes Project\, PrecisionFDA\, and the St. Jude Pediatric
  Cancer Cloud. CME accredited seminar. Information for claiming credit wi
 ll be provided at the start of the session.\n\nSpeaker:\nAndrew Carroll\,
  PhD\n\nAdmission:\nFree\n\nFood:\nLunch\n\nDetails URL:\nhttps://medicin
 e.yale.edu/event/bids-grand-rounds-7-16/\n
DTEND;TZID=America/New_York:20260716T130000
DTSTAMP:20260723T155449Z
DTSTART;TZID=America/New_York:20260716T120000
LOCATION:Zoom \, URL: https://yale.zoom.us/j/95975389943
SEQUENCE:0
STATUS:Confirmed
SUMMARY:BIDS Grand Rounds (Virtual Seminar)
UID:cda05e64-039c-46ba-93f0-63bdddca4fe6
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