Center for Computing Research (CCR)

Center for Computing Research

Laura Painton Swiler

Laura Painton Swiler
Optimization & Uncertainty Quantification
Phone: 505/844-8093
Fax: 505/284-2518

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1318
Albuquerque, NM

Laura has worked at Sandia since 1995.  She is currently a distinguished member of technical staff in the optimization and uncertainty quantification department.   Laura's research interests include uncertainty quantification for computational models, calibration of model parameters, sensitivity analysis, and model selection.  Laura is a developer on the Dakota team:  she develops and implements algorithms in the Dakota software project.


Laura earned a B.S. in Applied Mathematics Yale in 1987 and a M.S. in Operations Research from Stanford in 1989.  She was a Dept. of Energy Computational Science Graduate Fellow at Carnegie Mellon from 1992-94, earning her Ph.D. in Engineering and Public Policy in 1995.  Her dissertation was on combinatorial optimization under uncertainty with applications to design reliability problems.  Laura worked at AT&T Bell Laboratories from 1987-91.


Selected Publications & Presentations

  • Mitchell, Scott A., Mohamed Salah Ebeida, Muhammad A Awad, Chonhyon Park, Ahmad A Rushdi, Laura Painton Swiler, Dinesh Manocha, Anjul Patney, Li-Yi Wei, "Spoke-Darts for High-Dimensional Blue Noise Sampling," Journal Article, ACM Transactions on Graphics, Vol. 37, No. 2, Accepted/Published July 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.
  • Stein, Emily, Laura Painton Swiler, Stephen David Sevougian, "GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale.," Conference Paper, IGSC Safety Case Symposium , October 2018.
  • Swiler, Laura Painton, Yan Wang, "Editorial for the Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation. ," Journal Article, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Vol. 4, No. 1, Accepted/Published March 2018.
  • Swiler, Laura Painton, Brian M. Adams, William Wieselquist, "Sample Generation for Nuclear Data," SAND Report, September 2018.
  • Swiler, Laura Painton, Kyle Johnson, "Uncertainty Quantification for Additive Manufacturing Applications," Presentation, The Minerals, Metals, and Materials Society (TMS) Annual Meeting, March 2018.
  • Keiter, Eric R., Laura Painton Swiler, Ian Zachary Wilcox, "Gradient-Enhanced Uncertainty Quantification Methods for Circuit Simulation," Conference Paper, 11th International Conference on Scientific Computing in Electrical Engineering , May 2017.
  • Maupin, Kathryn, Laura Painton Swiler, "Validation Metrics for Deterministic and Probabilistic Data," SAND Report, March 2017.
  • Rushdi, Ahmad A, Laura Painton Swiler, Eric T. Phipps, Marta D'Elia, Mohamed Salah Ebeida, "VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting," Journal Article, International Journal of Uncertainty Quantification, Vol. 7, No. 1, pp. 1–21, Accepted/Published January 2017.
  • Adams, Brian M., Laura Painton Swiler, Russell Hooper, Allison Lewis, Jerry A McMahan, Jr., Ralph C Smith, Brian J Williams, "User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota," SAND Report, March 2014.
  • Safta, Cosmin, Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, "“Probabilistic Methods for Sensitivity Analysis and Calibration of Computer Models in the NASA Challenge Problem”," Journal Article, AIAA Journal, Submitted March 2014.
  • Swiler, Laura Painton, Patricia D. Hough, P. Qian, X. Xu, C. B. Storlie, H.K.H. Lee, " “Surrogate Models for Mixed Discrete-Continuous Variables”, Springer International Publishing, Switzerland," Journal Article, Constraint Programming and Decision Making, M. Ceberio and V. Kreinovich (eds.), Studies in Computational Intelligence, Vol. 539, pp. 181–202, Accepted/Published April 2014.
  • Swiler, Laura P, Thomas L Paez, Randall L Mayes, "Epistemic Uncertainty Quantification Tutorial ," Conference Paper, IMAC XXVII Conference and Exposition on Structural Dynamics, Society for Structural Mechanics. Orlando, FL, Feb. 2009, February 2009.
  • Giunta, Anthony A., John M. McFarland, Laura P. Swiler, Michael S. Eldred, "The promise and peril of uncertainty quantification using response surface approximations," Journal Article, Structure and Infrastructure Engineering, Vol. 2, No. 3-4, pp. 175–189, Accepted/Published December 2006.
  • Trucano, Timothy G, Laura P Swiler, Takera Igusa, William L Oberkampf, Martin Pilch, "Calibration, validation, and sensitivity analysis: Whats what," Journal Article, Reliability Engineering and System Safety, Accepted/Published July 2006.