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Suzanne Thornton (Assoc)

PREP Postdoctoral Associate

Statistical Design, Analysis, and Modeling Group

suzanne.thornton [at] nist.gov

ORCID iD

0000-0002-8221-3792

Staff Education

University of Florida, Bachelors in Mathematics 2014
Rutgers, The State University of New Jersey, Doctorate in Statistics 2019

Areas of Expertise

Experiment design

Modeling and simulation research

Numerical methods and software

Statistical analysis

Uncertainty quantification

Suzanne is a trained theoretical statistician with interests in computational statistics and coding. She is passionate about promoting stewardship of statistics and data science and building a professional community for LGBTQ+ professionals in her field. You can find her CV and other information at her personal webpage.

Publications

Optical clock frequency ratios with uncertainty ≤ 3.2 × 10^−18

January 6, 2026

Author(s)

Alexander Aeppli, Willa Arthur-Dworschack, Kyle Beloy, Caitlin Berry, Tobias Bothwell, Angela Folz, Tara Fortier, Tanner Grogan, Youssef Hassan, Zoey Zimeng Hu, David Hume, Benjamin Hunt, Kyungtae Kim, Amanda Koepke, Dahyeon Lee, David Ray Leibrandt, Ben Lewis, Andrew Ludlow, Mason Marshall, Nicholas Nardelli, Harikesh Ranganath, Daniel Rodriguez Castillo, Jeffrey Sherman, Jacob Siegel, Suzanne Thornton, William Warfield, Jun Ye

We report high-precision frequency ratio measurements between optical atomic clocks based on 27Al+, 171Yb, and 87Sr. With total fractional uncertainties at or

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