About Me

I am a staff research scientist in the Optimization and Uncertainty Quantification department at Sandia National Laboratories. Prior to my current position at Sandia, I was a PhD Student in the Computational Science, Engineering and Mathematics PhD Program, housed in the Oden Institute for Computational Engineering and Sciences at UT Austin. My research interests include:

  • model-form uncertainty (model-form error/model inadequacy/model discrepancy)
  • Bayesian inference
  • sensitivity analysis
  • multimodel (multilevel/multifidelity) uncertainty quantification
  • validation and reliability of computational models used for prediction

I am an avid cook, choral singer, and photographer.

Recent Publications

Journal Articles

  • Bayesian model selection for metal yield models in high-velocity impact.
    Teresa Portone, John Niederhaus, Jason Sanchez, and Laura Swiler. International Journal of Impact Engineering. (2020) https://doi.org/10.1016/j.ijimpeng.2019.103459
  • Bayesian inference of an uncertain generalized diffusion operator.
    Teresa Portone, Robert D. Moser. SIAM/ASA Journal on Uncertainty Quantification. (2022) https://doi.org/10.1137/21M141659X

Other

Recent Presentations

Conference Presentations

  • Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime.
    T. Portone, R.D. Moser. SIAM UQ22, Hybrid, April 2022. [Slides]
  • Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations.
    T. Portone, E. Acquesta, R. Dandekar, C. Rackauckas. USNCCM16, Virtual, 2021. [Slides]
  • Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model.
    T. Portone, M.S. Eldred, G. Geraci, L.P. Swiler. SIAM CSE21, Virtual, March 2021. [Slides]

Invited Presentations

  • A brief survey of uncertainty quantification.
    T. Portone. University of Alabama Mathematics Colloquium, November 2022. [Slides]