Peter O'Donnell Jr. Postdoctoral Fellow (2021-2022)
Research Experience
As a postdoctoral fellow at the Oden Institute for Computational Engineering and Sciences, he is developing computational methods to tackle large-scale problems in science and engineering. He is involved in the Electromagnetics and Acoustics Group and the Optimization, Inversion, Machine Learning, and Uncertainty for Complex Systems group.
Education
- B.S., Computational Engineering, University of Erlangen-Nuremberg, Germany
- M.S., Computational Science and Engineering, Georgia Institute of Technology
- Ph.D., Computational Science, Engineering, and Mathematics, The University of Texas at Austin
Background
His principal interests lie in high performance computing (parallel algorithms and architecture) and the analysis and implementation of numerical methods for solving linear and nonlinear systems of PDEs. His current research focuses on computational methods in Bayesian inverse problems and uncertainty quantification with applications in predictive tsunami simulation, as well as applications in acoustic and electromagnetic wave propagation, and nonlinear fiber optics in particular.