Claire Bowen
Senior Fellow at Urban Institute
Santa Fe, New Mexico, United States
Summary
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Senior🎓
Top SchoolClaire Bowen is a senior fellow and statistics methods leader with nine years of experience applying advanced privacy-preserving statistics to public policy and administrative data. Based in Santa Fe, she leads multi-year collaborations with the IRS and Department of Labor to produce synthetic tax data, expand secure restricted-use data access, and assess privacy-utility tradeoffs for researchers. Her background spans academic research, national lab postdoctoral work, and hands-on tool building—she has developed differential privacy methods, R packages, Shiny apps, and interactive dashboards used for census evaluation and teaching data science to kids. Known for bridging rigorous Bayesian and functional data methods with practical operational programs, she also designs and delivers training on data confidentiality for government clients.
9 years of coding experience
3 years of employment as a software developer
Honors Bachelor of Science (BS) Mathematics and Physics with a minor in Statistics, Honors Bachelor of Science (BS) Mathematics and Physics with a minor in Statistics at Idaho State UniversityDoctor of Philosophy (Ph.D.) Applied and Computational Mathematics and Statistics, Doctor of Philosophy (Ph.D.) Applied and Computational Mathematics and Statistics at University of Notre Dame
Github Skills (9)
opendp5
differential-privacy5
privacy3
python3
speaker3
tabular3
core-library3
relational3
sql2
Programming languages (5)
Github contributions (5)
ClaireMcKayBowen/Bowen-Claire---CV
Mar 2020 - Aug 2024
Contributions:31 pushes, 1 branch in 4 years 5 months
Contributions:1 release, 19 commits, 17 pushes in 7 months
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