Christopher Olston

    Staff Research Scientist

(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, specializing in machine-learning infrastructure. His past research focused on large-scale data management (e.g. he co-created Apache Pig) and web data techniques (e.g. crawling). Olston and his colleagues received the 2018 ACM SIGMOD Software Systems Award and the 2009 ACM SIGMOD Best Paper Award, and Olston gave a keynote talk at the 2011 ACM Symposium on Cloud Computing. He holds computer science degrees from Stanford (Ph.D., M.S.) and UC Berkeley (B.S.).