Center for Computing Research (CCR)

Center for Computing Research

Teresa Portone

Teresa Portone
Optimization & Uncertainty Quantification
Email: tporton@sandia.gov
Phone: 505/844-4475

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1327
Albuquerque, NM
87185-1320

Teresa joined Sandia in 2020. Currently her work is focused on applying uncertainty quantification methods to a number of application problems at the lab. Her research background is in the areas of quantfiying model-form uncertainty and Bayesian inference.

Education/Background

PhD, Computational Science, Engineering and Mathematics, University of Texas at Austin, December 2019

MS, Computational Science, Engineering and Mathematics, University of Texas at Austin, May 2016

BS, Mathematics, The University of Alabama, May 2013

Selected Publications & Presentations

2020	Portone, Teresa, John Henry Niederhaus, Jason James Sanchez, Laura Painton Swiler, "Bayesian model selection for metal yield models in high-velocity impact," Journal Article, International Journal of Impact Engineering, Vol. 137, Accepted/Published March 2020. Portone, Teresa, Robert D Moser, "Characterizing model-form uncertainty in an inadequate model of anomalous transport," Presentation, SIAM Uncertainty Quantification 2020, March 2020.
2019	Portone, Teresa, John Henry Niederhaus, Jason James Sanchez, Laura Painton Swiler, "Bayesian model selection for metal yield models in high-velocity impact ," Presentation, Hypervelocity Impact Symposium, Destin, FL, April 2019.
2018	Portone, Teresa N., John Henry Niederhaus, Jason James Sanchez, Laura Painton Swiler, "Application of Bayesian Model Selection for Metal Yield Models Using ALEGRA and Dakota," SAND Report, February 2018.