Carrie Grimes Bostock

Carrie Grimes Bostock graduated from Harvard with an A.B. in Anthropology/Archaeology in 1998, and an interest in quantitative methods for dealing with disparate data. She graduated from Stanford in 2003 with a PhD in Statistics after working with David Donoho on Nonlinear Dimensionality Reduction problems, and has been at Google since mid-2003. Dr. Grimes spent many years leading a research and technical team in Search at Google trying to figure out what criteria make a search engine index "good," "fast," and "comprehensive" - and how to achieve those goals. Currently, she is the Technical Lead for resource planning, pricing, and management data/software in Technical Infrastructure.

Google Publications

  •    

    Availability in Globally Distributed Storage Systems

    Daniel Ford, Francois Labelle, Florentina Popovici, Murray Stokely, Van-Anh Truong, Luiz Barroso, Carrie Grimes, Sean Quinlan

    Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation, USENIX (2010)

  •    

    Using a Market Economy to Provision Compute Resources Across Planet-wide Clusters

    Murray Stokely, Jim Winget, Ed Keyes, Carrie Grimes, Benjamin Yolken

    Proceedings for the International Parallel and Distributed Processing Symposium 2009, IEEE, pp. 1-8

  •   

    Estimation of Web Page Change Rates

    Carrie Grimes, Daniel Ford

    JSM 2008

  •   

    Keeping a Search Engine Fresh: Risk and Optimality in estimating refresh rates for web pages

    Carrie Grimes, Daniel Ford, Eric Tassone

    Proceedings of INTERFACE 2008

  •   

    Assigned tasks are not the same as self-chosen Web search tasks.

    Daniel M. Russell, Carrie Grimes

    HICSS (2007)

  •   

    Query logs alone are not enough

    Carrie Grimes, Diane Tang, Daniel Russell

    WWW 2007 Workshop on Query Log Analysis: Social and Technological Changes

Previous Publications

  •  

    Microscale Evolution of Web Pages

    Sean O'Brien, Carrie Grimes

    WWW 2008

  •  

    Image Manifolds which are Isometric to Euclidean Space

    David L. Donoho, Carrie Grimes

    Journal of Mathematical Imaging and Vision, vol. 23 (2005), pp. 5-24

  •  

    On Image Manifolds which are Isometric to Euclidean Space

    David L. Donoho, Carrie Grimes

    Journal of Machine Imaging and Vision (2005)

  •  

    Hessian Eigenmaps: New Locally Linear Embedding Techniques For High-Dimensional Data

    David L. Donoho, Carrie Grimes

    Proc. of National Academy of Sciences, vol. 100 (2003), pp. 5591-5596

  •  

    New Methods in Nonlinear Dimensionality Reduction

    Carrie Grimes

    Ph.D. Thesis, Stanford University (2003)

  •  

    When does geodesic distance recover the true hidden parametrization of families of articulated images?

    David L. Donoho, Carrie Grimes

    ESANN (2002), pp. 199-204