Los Alamos National Laboratory

Los Alamos National Laboratory

Delivering science and technology to protect our nation and promote world stability
Find Expertise logo

Profile Pages

View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for.

Claire McKay Bowen

Claire Bowen

Phone (505) 665-6594


Methods of data privacy and confidentiality (differential privacy)

Bayesian modeling and computation


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



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