Shay Gilpin is now a Postdoctoral Research Associate in the Department of Mathematics at the University of Arizona. Her overall research goal is to use mathematics to study problems in data assimilation and geoscience in an effort to further our understanding and develop practical solutions. Here is Shay's webpage https://sgilpin4.github.io/.
Education:
PhD, Applied Mathematics, University of Colorado, Boulder, 2023
M.S. Applied Mathematics, University of Colorado, Boulder, 2022
B.A. Mathematics, University of California Santa Cruz, 2017
Awards, Honors, and Fellowships:
- NSF Graduate Research Fellowship, 2019-2022
- Society for Industrial and Applied Mathematics Travel Award, 2021
- American Meteorological Society Conference Best Student Presentation Award, 2019
Research Experience:
- Postdoctoral Research Associate, Department of Mathematics, University of Arizona, Fall 2023 - Present
- Visiting Scientist, University Corporation for Atmospheric Research (UCAR) COSMIC Program, Fall 2017 - Spring 2019
- Significant Opportunities in Atmospheric Research and Science (SOARS) Intern, UCAR, Summer 2016, 2017
PhD Thesis:
Gilpin, S (2023). A New Perspective on Covariance Propagation for Data Assimilation Applications, ProQuest Dissertations and Theses: https://www.proquest.com/pqdtglobal/docview/2860594158/80C4CDED4E2543E3PQ
Publications:
Gilpin, S., Matsuo, T., and Cohn, S.E., 2023: A generalized, compactly-supported correlation function for data assimilation applications, Q. J. Roy. Meteor. Soc, 149, 1953-1989, https://doi.org/10.1002/qj.4490.
Gilpin, S., Matsuo, T., and Cohn, S. T.: Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems, 2021: SIAM / ASA Journal of Uncertainty Quantification, 10, 886-914, https://doi.org/10.1137/21M1442449.
Gilpin, S., Rieckh, T., and Anthes, R.: Reducing representativeness errors during radio occultation radiosonde comparisons, 2018: Atmos. Meas. Tech. 11, 2567-2582, https://doi.org/10.5194/amt-11-2567-2018.
Gilpin, S., Anthes, R., and Sokolovskiy, S.: Sensitivity of forward-modeled bending angles to vertical interpolation of refractivity for radio occultation data assimilation, 2019: Mon. Weath. Rev. 147, 269-289, https://doi.org/10.1175/MWR-D-18-0223.1