Christopher Olston

    Staff Research Scientist
    Google


(photo by Hector Garcia-Molina; actual hair may vary)


Research info & links

  • Primary interests: web and large-scale data management; machine learning

  • Publications

  • Citation h-index: 33 (according to Google Scholar)

  • Program committee memberships (one or more times): CIDR, FAST, HotCloud, ICDE, InfoVis, KDD, OSDI, SIGIR, SIGMOD, SoCC, VLDB, WebApps, WebDB, WSDM, WWW

  • Program committee co-chair positions: 2015 SIGMOD Industrial Track, 2013 SoCC, 2011 NetDB workshop

 
Biographical sketch

Christopher Olston is a staff research scientist at Google, working on machine-learning infrastructure.

His past research focused on web and large-scale data management. Olston co-created Apache Pig, which has been widely used for large-scale data processing at e.g. LinkedIn, Netflix, Salesforce, Twitter and Yahoo, and is offered by Amazon as a cloud service. He gave a keynote on related research at the 2011 ACM Symposium on Cloud Computing. His 2009 ACM SIGMOD paper on generating example records to debug data pipelines won the best paper award.

Olston holds computer science degrees from Stanford (2003 Ph.D., M.S.; funded by NSF and Stanford fellowships) and UC Berkeley (B.S. with highest honors). He has taught undergrad and grad computer science courses at Berkeley, Carnegie Mellon and Stanford, and has served on several Ph.D. dissertation committees. Olston also likes to skateboard.