Los Alamos National Laboratory

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Claire McKay Bowen

Claire Bowen

Email
Phone (505) 665-6594

Expertise

Methods of data privacy and confidentiality (differential privacy)

Bayesian modeling and computation

Education

Ph.D. Statistics, University of Notre Dame, 2018

M.S. Statistics, University of Notre Dame, 2015

B.S. Mathematics and Physics, Idaho State University, 2012

 

LANL Positions

Postdoctoral Research Associate, 2018 - Present

More Information: www.clairemckaybowen.com

 

Publications

Under Peer Review/Preprint Bowen, CMK and Liu, F. (2018) "STatistical Election to Partition Sequentially (STEPS) and Its Applications in Differentially Private Release and Analysis of Youth Voter Registration Data." (arXiv:1803.06763) Bowen, CMK and Liu, F. (2016) "Comparative Study of Differentially Private Data Synthesis Methods." (arXiv:1602.01063)

Peer-Reviewed Journals (co-first authors) Bowen, CMK and Eugenio, E. (2017) "Where’s Wenda: An Activity on Teaching Middle School Students Data Privacy." Statistics Teacher, Issue No. 1. Myers, K., Lawrence, E., Fugate, M., Bowen, CMK, Ticknor, L., Woodring, J., Wendelberger, J., Ahrens, J. (2016) "Partitioning a Large Simulation as It Runs." Technometrics: Special Issue on Big Data, Volume 58, Issue 3, 329-340. doi: 10.1080/00401706.2016.1158740 Bowen, CMK, Liu, F., & Wheeler, J. (2015) "Are More of My Patients Developing Side Effects than Expected." Practical Radiation Oncology, Volume 5, Issue 3, e255-e261. doi: 10.1016/j.prro.2014.10.007

 
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