BIDS Grand Rounds (Virtual Seminar)

When, Why, and How Deep Learning Models Work in Genomics

Andrew Carroll, PhD, leads product development for the genomics team in Google Research. The genomics team develops open-source methods which help scientists generate and analyze genome sequencing data, such as DeepVariant, DeepSomatic, DeepConsensus, and DeepPolisher, as well as machine-learning methods to determine phenotypes from imaging and time-series data (fundus imaging, spirometry, ECG, PPG). Andrew collaborates with consortia including the Human Pangenome Project and Genome in a Bottle. Prior 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 will be provided at the start of the session.