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: [250, 240, 145, 208, 127, 75, 124, 200, 254, 258, 77, 214, 133, 112, 139, 198, 268, 189, 132, 197, 134]
Phone: n/a
Office: POB 3SEo4C
Homepage: http://users.ices.utexas.edu/~aaron/