About Me
I am a Principal Member of the Technical Staff in the Optimization and Uncertainty Quantification department at Sandia National Laboratories. 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, Conference Proceedings, and Preprints
- Quantifying model prediction sensitivity to model-form uncertainty.Teresa Portone, Rebekah D. White, Joseph L. Hart. ArXiV preprint. (2025) https://arxiv.org/abs/2509.08708
- Scalable extensions to given-data Sobol' index estimators.Teresa Portone, Bert Debusschere, Samantha Yang, Emiliano Islas-Quinones, T. Patrick Xiao. ArXiV preprint. (2025) https://arxiv.org/abs/2509.09078
- Hybrid Physics-Data Enrichments to Represent Uncertainty in Reduced Gas-Surface Chemistry Models for Hypersonic Flight.Rileigh Bandy, Rebecca Morrison, Erin Mussoni, Teresa Portone. ArXiV preprint. (2025) https://arxiv.org/abs/2509.08137
- Closure Term Estimation in Spatiotemporal Models of Dynamical Systems.Eric Crislip, Mohammad Khalil, Teresa Portone, Oksana Chkrebtii, Kyle Neal. ArXiV preprint. (2025) https://arxiv.org/abs/2511.20869
- Investigating Model Form Error Estimation for Sparse Data.Kyle D Neal, Mohammad Khalil, Teresa Portone. Proceedings of the Annual Conference of the PHM Society. (2024) https://doi.org/10.36001/phmconf.2024.v16i1.4081
Other
- Assessing and Enabling Trustworthy Predictions for High-Consequence Decisions.Teresa Portone, Rebekah D. White, Rileigh Bandy. Technical Report. (2025) https://doi.org/10.2172/2999140
- Challenges in quantifying unparameterized spatial uncertainties in deep geologic repositories for nuclear waste.Teresa Portone, Dusty M. Brooks, Laura P. Swiler. Technical Report. (2025) https://doi.org/10.2172/2588881
- Theoretical and methodological challenges in hierarchical Bayesian inference for model-form uncertainty.Teresa Portone, Rebekah D. White. Technical Report. (2025) https://doi.org/10.2172/2587508
- Representing Model-Form Uncertainty from Missing Microstructural Information.Teresa Portone. Dissertation. (2019) http://dx.doi.org/10.26153/tsw/10112
Recent Presentations
Conference Presentations
- Trustworthy and Scalable Data-Driven Closure Models.Teresa Portone, Mohammad Khalil, Kyle Neal. WCCM16, Vancounter, BC, Canada, July 2024. [Slides]
- Assessing Model Prediction Trustworthiness in the Presence of Model-Form Uncertainty.Teresa Portone, Rebekah D. White, Joseph L. Hart. SIAM UQ24, Trieste, Italy, February 2024. [Slides]