My name is Shay Gilpin, and I am a PhD student in the Applied Mathematics (APPM) Department at CU (Fall 2018-current). I completed by undergraduate degree in pure mathematics with a minor in chemistry at the University of California Santa Cruz. As an undergraduate, I participated in the Significant Opportunities for Atmospheric Research Program (SOARS) through the University Corporation for Atmospheric Research (UCAR) in Boulder, CO working for the Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) program. After completing my undergraduate degree, I returned to COSMIC as a visiting scientist, working on scientific applications of Radio Occultation (RO), before starting graduate school. My current research involves the mathematics of data assimilation, particularly continuum and discrete error propogation.
NSF Graduate Research Fellowship
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, under review, https://arxiv.org/abs/2109.02530
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
Gilpin, S., T. Matsuo, and S. E. Cohn (2021), Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems, World Climate Research Programme (WCRP)-World Weather Research Programme (WWRP) Symposium on Data Assimilation and Reanalysis, September 13-18, Virtual.
Gilpin, S., T. Matsuo, and S. E. Cohn (2021), Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems, SIAM Conference on Mathematical and Computational Issues in the Geosciences, June 21-14, Virtual.
Gilpin, S., T. Matsuo, and S. E. Cohn (2021), Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems, The International Symposium on Data Assimilation – Online, March 12, Virtual.
Gilpin, S., and Rieckh, T., and Anthes, R. (2019), Reducing representativeness errors during radio occultation – radiosonde comparisons. Oral Presentation (Student Paper Award), American Meteorological Society Annual Meeting, Abstract 350016, Phoenix AZ.
Gilpin, S. (2019), Bringing Science to the Next Generation: The impacts of Richard Anthes on a Young Scientist's Career. Invited Oral Presentation, American Meteorological Society Annual Meeting, Abstract 355461, Phoenix AZ.
Undergraduate Study Session Coordinator, The Association for Women in Mathematics (AWM) Boulder Chapter.