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Large-scale Genomic Data Analysis on Google Cloud Platform

Dr Kelly Westbrooks
Google, Inc.
Friday, March 27, 2015 - 12:00pm to 1:00pm
7th Floor Conference Room, 25 Park Place

Due to the data deluge problem in high-throughput DNA sequencing, the genomics industry is currently undergoing a paradigm shift away from traditional server-based computing and towards leveraging the power and cost savings of cloud computing. In this talk, I'll discuss Google Cloud Platform (GCP), Google's cloud computing offering for applications requiring very large scale data processing capabilities. I'll give an overview of how GCP technologies such as BigQuery and Dataflow are being used to build the world's next-generation genomics data processing infrastructure, Google Genomics.


Speaker's Bio: 

Dr. Kelly Westbrooks received a B.S. in Applied Mathematics from Georgia Tech in 2001 and a Ph.D. in Computer Science from Georgia State in 2009. While working on his Ph.D., he was employed at several companies in Atlanta as a software engineer, including Digital Insight, BellSouth, CBeyond, and others. After earning his Ph.D., he went to work for Life Technologies as a bioinformatics software engineer. In 2011, he started working at Google as a software engineer. At Google, he worked on Google Genomics, a cloud software platform for genomic data analysis. Most recently, he switched to Google’s System Infrastructure team, which writes the software that manages Google’s data centers.