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A Brief Introduction to Personal Genome Analysis

2/6/2013 6:30 PM - 8:30 PM

What You’ll Learn

Learn how to store and analyze your own genome. Meant for hackers who know statistics and how to code but don't know much about biology.

Course will be co-taught by Jeff Hammerbacher and Konrad Karczewski, a genome scientist and PhD student in the Biomedical Informatics training program at Stanford University, advised by Mike Snyder and co-advised by Stephen Montgomery. He was involved with the pioneering course at Stanford University in Personalized Medicine and Genomics, where he led the development of a platform for personal genotype interpretation, the Interpretome.

Intermediate Level

About Your Teacher More Teacher Info

Jeff Hammerbacher · Chief Scientist at Cloudera

Jeff Hammerbacher is an Assistant Professor at Mount Sinai School of Medicine and founder and Chief Scientist of Cloudera. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to founding Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. The Data team was responsible for driving many of the applications of statistics and machine learning at Facebook, as well as building out the infrastructure to support these tasks for massive data sets. The Data team produced open source projects such as Hive and Cassandra and their work was recognized at conferences such as CHI, ICWSM, SIGMOD, and VLDB. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University and recently served as a Contributing Editor for O'Reilly's "Beautiful Data".

Class Syllabus See Detailed Syllabus


Starts on: Wed, Feb 6th, 2013

Genomics for Hackers


Genomics for Hackers

Feb 6th, 2013

Learn More: A Brief Introduction to Personal Genome Analysis

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