Teresa Portone

Optimization & Uncertainty Quantification

Author profile picture

Optimization & Uncertainty Quantification

tporton@sandia.gov

(505) 844-4475

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1327

Biography

Teresa joined Sandia in January 2020. Currently her work is focused on applying multifidelity uncertainty quantification, global sensitivity analysis, and Bayesian inference methods to a number of practical application problems at the lab. Her research background is in the areas of quantfiying model-form uncertainty and Bayesian inference with applications to subsurface transport and material modeling.

Education

  • 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

Publications

Teresa Portone, Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Mariah Lee Smith, Emily Stein, (2022). Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework AGU Fall Meeting 2022 Document ID: 1584823

Teresa Portone, Robert D. Moser, (2022). A stochastic operator model-form uncertainty representation of missing microstructural information AGU Fall Meeting Document ID: 1584822

Timothy Michael Wildey, Gianluca Geraci, Michael S. Eldred, John Davis Jakeman, Owen Davis, Teresa Portone, Tian Yu NMN Yen, Bryan William Reuter, Alex Gorodetsky, Ahmad Rushdi, Daniele Schiavazzi, Lauren Partin, (2022). Embedded uncertainty estimation for data-driven surrogates to enable trustworthy ML for UQ Machine Learning and Deep Learning Conference Document ID: 1573362

Teresa Portone, Kyle Daniel Neal, Angel Urbina, Erin Acquesta, (2022). Quantifying Model-Form Uncertainty in the Absence of Data International Modal Analysis Conference (IMAC) 2023 Document ID: 1563025

Gianluca Geraci, Michael S. Eldred, Alex Gorodetsky, John Davis Jakeman, Teresa Portone, Bryan William Reuter, (2022). Overview and perspectives on multifidelity UQ Inria Platon projet-team seminar Document ID: 1562979

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1551505

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems ANS 2022 International High Level Radioactive Waste Management Meeting Document ID: 1551631

Paul Mariner, Eduardo Basurto, Dusty Marie Brooks, Rosemary Claire Leone, Teresa Portone, Laura Swiler, (2022). Advanced Use Of Tracers In Repository Performance Assessment Modeling 2022 International High-Level Radioactive Waste Management Conference Document ID: 1551457

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics 2022 International High-Level Radioactive Waste Management Conference Document ID: 1551466

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1551536

Teresa Portone, Erin Acquesta, Raj Dandekar, Chris Rackauckas, (2022). Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations 8th European Congress on Computational Methods in Applied Sciences and Engineering Document ID: 1539796

Michael S. Eldred, Gianluca Geraci, Bryan William Reuter, Teresa Portone, John Davis Jakeman, Alex A. Gorodetsky, (2022). Model Tuning for Multifidelity Sampling in Dakota 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Document ID: 1527920

Michael S. Eldred, Gianluca Geraci, Teresa Portone, Alex A. Gorodetsky, John Davis Jakeman, (2022). All-at-Once (and Bi-Level) Model Tuning for Multifidelity Sampling SIAM Conference on Uncertainty Quantification (UQ22) Document ID: 1505114

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1493946

Michael Brian Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred, (2022). Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis Siam Uq 22 Document ID: 1504581

Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosie Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Tim Berg, (2022). Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository Society of Industrial and Applied Mathematics(SIAM) Conference on Uncertainty Quantification Document ID: 1494220

Teresa Portone, Robert D. Moser, (2022). Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime SIAM Conference on Uncertainty Quantification (UQ22) Document ID: 1494331

Dusty Marie Brooks, Laura Painton Swiler, Paul Mariner, Teresa Portone, Eduardo Basurto, Rosemary Claire Leone, (2022). Sensitivity and uncertainty analysis of FMD model choice for a generic crystalline repository International High Level Radioactive Waste Management Conference (part of 2022 American Nuclear Society Annual meeting) Document ID: 1492945

Paul Mariner, Eduardo Basurto, Dusty Marie Brooks, Rosemary Claire Leone, Teresa Portone, Laura Painton Swiler, (2022). Advanced Use of Tracers in Repository Performance Assessment Modeling 2022 International High-Level Radioactive Waste Management Conference Document ID: 1492982

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics 2022 International High Level Radioactive Waste Management Conference Document ID: 1482386

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems 2022 International High Level Radioactive Waste Management Conference Document ID: 1482390

Teresa Portone, Erin Acquesta, Chris Rackauckas, Raj Dandekar, (2021). Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations The 8th European Congress on Computational Methods in Applied Sciences and Engineering Document ID: 1405256

Michael S. Eldred, Gianluca Geraci, Bryan William Reuter, Teresa Portone, John Davis Jakeman, Alex A. Gorodetsky, (2021). Model Tuning For Multifidelity Sampling In Dakota 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022) Document ID: 1405437

Kathryn Anne Maupin, Jaideep Ray, Teresa Portone, (2021). Informing Missing Physics with Model Form Error and Model Selection 8th European Congress on Computational Methods in Applied Sciences and Engineering Document ID: 1404243

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2021). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics Sandia National Laboratories Seminar Document ID: 1392873

Teresa Portone, (2021). Computing bulk permeabilities for Task F Reference Case Decovalex D-2023 Ws#4 Document ID: 1392486

Rahni Shakhelle Kellum, Teresa Portone, Adrienne Phillips, Alexis Taryn Joiner, (2021). STARTHBCU Fall Newsletter Document ID: 1392009

Michael Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred, Pierre Gremaud, (2021). Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis SIAM Conference on Uncertainty Quantification (UQ22) Document ID: 1369697

Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosemary Claire Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Timothy M. Berg, (2021). Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository SIAM Conference on Uncertainty Quantification (UQ22) Document ID: 1369039

Teresa Portone, Robert D. Moser, (2021). Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime Siam Uq22 Document ID: 1369249

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, Timothy Michael Wildey, Ahmad Rushdi, Daniel Thomas Seidl, (2021). The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact NASA Langley HPC Seminar Series Document ID: 1369333

Teresa Portone, John Davis Jakeman, Alex Arkady Gorodetsky, (2021). Advanced multilevel and multifidelity UQ strategies: applications, generalized model hierarchies, and data-driven approaches SIAM Conference of Uncertainty Quantification (UQ22) Document ID: 1367773

Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Teresa Portone, Mariah Lee Smith, Emily Stein, (2021). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021) https://www.osti.gov/search/identifier:1855018 Document ID: 1343921

Teresa Portone, Kathryn Anne Maupin, Rebecca Morrison, (2021). Probabilistic methods for model inadequacy Eccomas 2022 Document ID: 1343987

Teresa Portone, Laura Painton Swiler, Mariah Lee Smith, (2021). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 2021 AGU Fall Meeting Document ID: 1342608

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, (2021). Efficient Deployment of Multifidelity Sampling Methods in Production Settings Usnccm16 Document ID: 1342732

Merritt Michael, Gianluca Geraci, Michael S. Eldred, Teresa Portone, (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis 16th US National Congress on Computational Mechanics Document ID: 1342526

Teresa Portone, Erin Acquesta, Raj Dandekar, Chris Rackauckas, (2021). Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations 16th U.S. National Congress on Computational Mechanics Document ID: 1332062

Erin Acquesta, Teresa Portone, (2021). Assessing the Efficacy of Universal Differential Equations to Learn Missing Dynamics from a Subset of Observable State Variables Machine Learning Deep Learning Workshop Document ID: 1331746

John Davis Jakeman, Michael S. Eldred, Gianluca Geraci, Teresa Portone, Ahmad Rushdi, Daniel Thomas Seidl, Thomas M. Smith, (2021). Multi-fidelity Machine Learning Machine Learning and Deep Learning Conference https://www.osti.gov/search/identifier:1876608 Document ID: 1331137

Teresa Portone, Adrienne Phillips, Rahni Shakhelle Kellum, Christian Mailhiot, (2021). STARTHBCU June Newsletter Document ID: 1318232

Teresa Portone, (2021). Fracture statistics and integration into computational models Crystalline Club 4th meeting https://www.osti.gov/search/identifier:1869537 Document ID: 1307321

Teresa Portone, (2021). Multifidelity modeling for uncertainty assessment 2021 SFWD Annual Meeting https://www.osti.gov/search/identifier:1867791 Document ID: 1306264

Paul Mariner, Dusty Marie Brooks, Teresa Portone, (2021). Repository Performance Metrics and Other Quantities of Interest DECOVALEX-2023 Workshop #3 https://www.osti.gov/search/identifier:1866339 Document ID: 1305480

Kathryn Anne Maupin, Teresa Portone, (2021). Use of Model Discrepancy and Model Selection as a Means of Informing Missing Physics SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1848042 Document ID: 1279973

Michael S. Eldred, Alex Arkady Gorodetsky, Gianluca Geraci, John Davis Jakeman, Teresa Portone, (2021). Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ Siam Cse21 https://www.osti.gov/search/identifier:1847573 Document ID: 1279875

Michael Merritt, Gianluca Geraci, Michael S. Eldred, Teresa Portone, (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis Siam Cse 2021 https://www.osti.gov/search/identifier:1847581 Document ID: 1279942

Teresa Portone, Laura Painton Swiler, Gianluca Geraci, Michael S. Eldred, (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model SIAM Conference on Computational Science and Engineering (CSE21) https://www.osti.gov/search/identifier:1847219 Document ID: 1279295

Michael Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred, (2021). Global Sensitivity Analysis via hybrid MLMC PCE 16th U.S. National Congress on Computational Mechanics Document ID: 1267956

Teresa Portone, Erin Acquesta, Ahmad Rushdi, Raj Dandekar, Chris Rackauckas, (2021). Learning missing mechanisms in a dynamical system from a subset of state variable observations 16th U.S. National Congress on Computational Mechanics Document ID: 1255474

Teresa Portone, Rosemary Claire Leone, (2020). Flow and Transport Modeling in Fractured Crystalline Rock Using PFLOTRAN and dfnWorks: Crystalline Task F DECOVALEX Workshop November 2020 https://www.osti.gov/search/identifier:1833141 Document ID: 1232514

Brian M. Adams, Teresa Portone, (2020). Make a Difference: Mathematical Sciences R&D Careers at Sandia National Laboratories NCSU Math/Stat Recruiting Session Document ID: 1219771

Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Paul Mariner, Teresa Portone, Emily Stein, (2020). Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework https://www.osti.gov/search/identifier:1671381 Document ID: 1208891

Michael S. Eldred, Alex Gorodetsky, Gianluca Geraci, John Davis Jakeman, Teresa Portone, (2020). Recent advances in adaptive refinement of multifidelity surrogates Siam Cse 2021 Document ID: 1196332

Michael Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred, (2020). Hybrid multilevel Monte Carlo polynomial chaos expansion method for global sensitivity analysis Siam Cse 2021 Document ID: 1196287

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2020). Application of multifidelity UQ approaches to a subsurface transport model SIAM Conference on Computational Science and Engineering (CSE21) Document ID: 1196073

Kathryn Anne Maupin, Teresa Portone, (2020). Use of model discrepancy and model selection as a means of informing missing physics. SIAM Computational Science and Engineering 2021 Document ID: 1196005

Teresa Portone, (2020). Exploring Model-Form Uncertainty in ECPMs DECOVALEX D2023 Task F Crystalline Meeting https://www.osti.gov/search/identifier:1818051 Document ID: 1195389

Kathryn Anne Maupin, Teresa Portone, (2020). Use of model discrepancy and model selection as a means of informing missing physics SIAM Conference on Computational Science and Engineering Document ID: 1183976

Sean DeRosa, Patrick D. Finley, Melissa Finley, Walter Eugene Beyeler, Daniel Joseph Krofcheck, Christopher Rawls Frazier, Laura Painton Swiler, Teresa Portone, Erin Acquesta, Paula Austin, Drew Levin, Robert A. Taylor, Katherine Dorothy Tremba, Monear Makvandi, Ann Hammer, Chad E. Davis, (2020). COVID-19 Medical Resource Demands DOE Presentation https://www.osti.gov/search/identifier:1807655 Document ID: 1161312

Cosmin Safta, Jaideep Ray, Erin Acquesta, Thomas Anthony Catanach, Kamaljit Singh Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, Teresa Portone, (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 https://www.osti.gov/search/identifier:1763554 Document ID: 1140394

Laura Painton Swiler, Teresa Portone, (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model Martians Summer student talk https://www.osti.gov/search/identifier:1807392 Document ID: 1139662

Walter Eugene Beyeler, Christopher Rawls Frazier, Daniel Joseph Krofcheck, Laura Painton Swiler, Teresa Portone, Katherine A. Klise, (2020). Uncertainty Analysis Framework for the Hospital Resource Supply Model for Covid-19 https://www.osti.gov/search/identifier:1763544 Document ID: 1128430

Walter Eugene Beyeler, Christopher Rawls Frazier, Laura Painton Swiler, Teresa Portone, Daniel Joseph Krofcheck, (2020). Treatment Model Design and Use DOE-OE Covid-19 Response Project https://www.osti.gov/search/identifier:1783073 Document ID: 1127872

Laura Painton Swiler, Teresa Portone, Walter Eugene Beyeler, (2020). Uncertainty analysis of Resource Demand Model for Covid-19 https://www.osti.gov/search/identifier:1630395 Document ID: 1127602

Teresa Portone, Robert D. Moser, (2020). Characterizing model-form uncertainty in an inadequate model of anomalous transport SIAM Conference on Uncertainty Quantification 2020 https://www.osti.gov/search/identifier:1783586 Document ID: 1103426

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