Aaron Myers

Aaron Myers

Ph.D. Candidate
Computational Science, Engineering, and Mathematics

Dissertation:
Particle methods for PDE-constrained Bayesian inverse problems

Advisor:
Dr. Tan Bui-Thanh

Prior Degrees:
M.S. (2015) Computational Science, Engineering, and Mathematics, The University of Texas at Austin
B.S. (2011) Mechanical Engineering, The University of Tennessee

Research Interests:
Aaron's interests include uncertainty quantification, optimal transport, Sequential Monte-Carlo methods, and Kalman Filtering.

Recent Publications:
Le, E., Myers, A., Bui-Thanh, T., and Nguyen, Q. P., , A Randomized Misfit Approach for Data Reduction in Large-Scale Inverse Problems Inverse Problems , 33(6), 065003, 2017

Email:
aaron@ices.utexas.edu

Contact

Email: [198, 194, 125, 254, 129, 95, 122, 252, 202, 212, 57, 260, 135, 132, 137, 250, 216, 143, 112, 243, 136]
Phone: n/a
Office: POB 3SEo4C
Homepage: http://users.ices.utexas.edu/~aaron/