Kimberly Keeton

Kimberly Kristine Keeton is an American computer scientist specializing in databases and computer data storage. She worked at HP Labs as a Distinguished Technologist and is currently employed by Google as Principal Engineer, and was one of the designers of the Express Query metadata database used by Hewlett-Packard as part of their StoreAll large-scale data storage systems.^[1]

Keeton did her undergraduate studies at Carnegie Mellon University, with a double major in computer engineering and in engineering and public policy.^[1] She completed her Ph.D. in 1999 at the University of California, Berkeley. Her dissertation, Computer Architecture Support for Database Applications, was supervised by David Patterson.^[2]

A paper written by Keeton in 2004 with four other researchers on the automated design of disaster-resistant enterprise storage systems won the Usenix FAST Test of Time Award in 2018.^[3] She also won the 2018 SIGMOD best paper award for her work with other collaborators on "range filtering" data structures that combine the memory-efficient filtering abilities of bloom filters with the ability of range query data structures to find data with a range of key values rather than with a single exactly matching key.^[4]

Keeton was elected as an ACM Fellow in 2018 for "contributions to improving the dependability, manageability, and usability of storage and novel memory".^[5] She became an IEEE Fellow in 2021.^[6]