# Kim Keeton

> Technologist | ACM Fellow | IEEE Fellow

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/kimkeeton

Dr. Kimberly Keeton is a Principal Engineer at Google. Her recent research focuses on data management for disaggregated persistent memory architectures. She has also worked in the areas of storage and information management, storage dependability, NoSQL databases, intelligent storage, and workload characterization. Her work has led to 22 granted US patents and over 60 publications in refereed journals and conferences, and has contributed to multiple products. She holds a Ph.D. and an M.S. in Computer Science from the University of California, Berkeley, and a B.S. in Computer Engineering and Engineering and Public Policy from Carnegie Mellon University.

Keeton was the Technical Program Committee (PC) Chair for multiple top-tier conferences on computer systems and storage, including USENIX Symposium on Operating Systems Design and Implementation (OSDI 2016), ACM European Conference on Computer Systems (EuroSys 2016), ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2011), USENIX Symposium on File and Storage Technologies (FAST 2010), and IEEE/IFIP Dependable Systems and Networks/Performance and Dependability Symposium (DSN/PDS 2008). She has served as an industrial advisor to university research groups at Carnegie Mellon, ETH-Zurich, and University of California at Berkeley. She is a Fellow of the ACM and the IEEE.

## Work Experience
### Principal Engineer @ Google
Jan 2021 – Present | San Francisco Bay Area

### Distinguished Technologist @ Hewlett Packard Enterprise
Jan 2015 – Jan 2020 | Palo Alto, CA

### Principal Researcher @ HP
Jan 2012 – Jan 2015 | Palo Alto, California, United States

### Senior Researcher @ HP
Jan 2004 – Jan 2011 | Palo Alto, California, United States

### Researcher @ HP
Jan 1999 – Jan 2004 | Palo Alto, California, United States


## Education
### PhD in Computer Science
University of California, Berkeley

### Master of Science - MS in Computer Science
University of California, Berkeley

### Bachelor of Science - BS in Computer Engineering and Engineering and Public Policy
Carnegie Mellon University


## Contact & Social
- LinkedIn: https://linkedin.com/in/kimberlykeeton

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Source: https://flows.cv/kimkeeton
JSON Resume: https://flows.cv/kimkeeton/resume.json
Last updated: 2026-04-12