Daryl Pregibon

Daryl is the Head of the Statistics Group in the New York Engineering office. His primary interests are in Ads Quality.

Before joining Google in 2004, Daryl led the Statistics Research Department at AT&T Labs. He held a similar position at Bell Labs prior to trivestiture in 1995. Combined, he worked for 23 years at Bell and AT&T Labs.

Daryl received his Ph.D. in Statistics from the University of Toronto in 1979. He also holds MMath and BSc degrees from the University of Waterloo and Youngstown State University.

Google Publications


    Performance tournaments with crowdsourced judges

    Daryl Pregibon, Williiam D Heavlin

    Proceedings of the American Statistical Association, section on marketing statistics, American Statistical Association, 732 North Washtington Street, Alexandria, VA 22314-1943 (2013)


    User browsing models: relevance versus examination

    Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon

    Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, Washington, DC (2010), pp. 223-232


    Online Effects of Offline Ads

    Diane Lambert, Daryl Pregibon

    AdKDD08 (in the ACM digital library), ACM (2008), pp. 10-17


    More Bang for Their Bucks: Assessing New Features for Online Advertisers

    Diane Lambert, Daryl Pregibon

    AdKDD07 (in the ACM digital library) (2007)


    Hancock: A language for analyzing transactional data streams

    Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith

    ACM Trans. Program. Lang. Syst., vol. 26 (2004), pp. 301-338

Previous Publications