Deanna Easley

Ph.D. in Mathematics, May 2022, George Mason University, Dissertation: Higher Order Kalman Filtering for Nonlinear Systems, Advisor: Dr. Tyrus Berry
M.S. in Mathematics, May 2017, George Mason University
B.S. (Summa Cum Laude) in Mathematics, Minor in Italian, May 2015, George Mason University

Numerical Analysis: approximation of tensor eigenvalues and eigenvectors, tensor decomposition and numerical integration/cubature
Dynamical systems: data assimilation, inverse problems, prediction/control, and uncertainty quantification.

Deanna Easley, Higher Order Kalman Filtering for Nonlinear Systems. PhD dissertation, George Mason University, 2022.
Deanna Easley, Tyrus Berry, A Higher Order Unscented Transform. SIAM/ASA Journal on Uncertainty Quantification (JUQ), 9(3):1094–1131, 2021.

October 6, 2021: Sensor Science Division Seminar, National Institute of Standards and Technology (NIST). Learning Hidden States from Noisy Observations.
August 27, 2021: Dynamics Days Europe 2021. Generalizing the Unscented Ensemble Transform to Higher Moments.
August 25, 2020: Dynamics Days Digital 2020. Generalizing the Unscented Ensemble Transform to Higher Moments. (poster)
August 14, 2020: SIAM Conference on Mathematics of Planet Earth (MPE20). Generalizing the Unscented Ensemble Transform to Higher Moments. (slides, video)
November 22, 2019: Student Research Talks, George Mason University. Generalizing the Unscented Ensemble Transform to Higher Moments. (slides)
February 26, 2019: Mathematics and Climate Seminar, George Mason University. Lorenz Equations. (slides)