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Leslie Melissa Moore

Lisa Moore

Phone (505) 665-3958


  • Computational Physics and Applied Mathematics
  • Mathematics
  • Applied Math
  • Statistics
  • Uncertainty quantification
  • Uncertainty analysis
  • Computer and Computational Sciences
  • Machine learning,
  • Data mining


 Dr. Leslie M. (Lisa) Moore joined the Statistical Sciences Group at Los Alamos National Laboratory in 1985 and has been a Guest Scientist since 2012. Dr. Moore has extensive experience as a professional statistician working with individual scientists and engineers as well as with medium to large multidisciplinary teams at LANL. She has brought statistical thinking, rigor and methods to a wide variety of problems of scientific and national importance including critical infrastructure protection, transportation simulation, carbon capture implementation, nuclear plant reliability, science-based stockpile stewardship (i.e., LANL's national security mission to ensure the safety and reliability of the US nuclear deterrent by developing and applying science and technology in the absence of nuclear testing), supercomputer performance and environmental impact. She has worked with scientists in many different disciplines including chemists, material scientists, engineers, physicists, epidemiologists and ecologists to name a few.

Dr. Moore’s primary area of expertise is design of experiments for physical and simulation-based studies and analysis of designed experiments in support of study objectives. As an experimental design expert, her role is to help with problem definition and experiment planning as well as analysis. In physical experiments, her research addresses challenges posed by limits on resources and experimental capability. In simulation-based experiments, her research focuses on design of efficient simulation ensemble experiments for a variety of analysis objectives but with focus on sensitivity analysis as a driving aspect of uncertainty quantification in models and analysis.

Dr. Moore’s areas of expertise include:

Statistical Theory and Methods for Experimentation


Design of Experiments: Fractional Factorial Design


Design of Computer Experiments: Latin Hypercube Sampling, Orthogonal Array and Projection Array based LHS


Statistical Learning


General and Generalized Linear Models


Collaborative Statistical Consulting and Research



 Ph.D. Mathematics, Statistics emphasis, The University of Texas, Austin, TX.

Dissertation:  Ordering the Points in Factorial Experiments to Protect against Early Termination,

      Advisor:  Retired Professor Emeritus Peter W. M. John

B.S. with Honors in Mathematics, The University of Texas, Austin, TX.



Professional Societies

 Member American Statistical Association, national and Albuquerque chapter, and sections including Joint Physical and Engineering Sciences and Quality and Productivity, Defense and National Security, Statistical Consulting, Statistics Education

Fellow of the Royal Statistical Society


Service Activities:

Design and Analysis of Experiments (DAE) Conference Steering committee, 2005-present, Chair 2009-2012

Workshop co-organizer (scientific program chair), 2005 Workshop on Design and Analysis of Experiments, DAE 2005, Santa Fe, NM

Senior Newsletter Editor for ASA joint section SPES/Q&P. 1998-2000



 Six Sigma Master Black Belt. Trained October 2008 – May 2009 by Straight Line Performance Solutions, LLC president Mark Zabel. Project: Implementation of a Performance Assessment Tool for High Performance Computing

Invited participant, program on Design of Experiments at Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, July 21 - Aug 15 2008

2009 Los Alamos National Laboratory Distinguished Performance Award, H1N1 Analysis Team

2010 Los Alamos National Laboratory Achievement Award for contributions to the CCS-6 Student Program

2013 Don Owen Award, San Antonio Chapter of the ASA and Taylor and Francis

2014 Fellow of the American Statistical Association, August 2014 JSM






Refereed Publications (as of August, 2014)

1.      “Using Genetic Algorithms to Design Experiments: a Review” (2014), Lin, C. F. D., Anderson-Cook, C. M., Hamada, M. S., Moore, L. M., and Sitter, R. R., Quality and Reliability Engineering International, doi: 10.1002/qre.1591, LA-UR 11-05462.

2.     “An Introduction to Statistical Issues and Methods in Metrology for Physical Science and Engineering” (2014), Vardeman, Stephen, Hamada, Michael S., Burr, Tom, Morris, Max, Wenderlberger, Joanne, Jobe, J. Marcus, Moore, Leslie, and Wu, Huaiqing, Journal of Quality Technology, Vol 46., No. 1, 33-62, LA-UR 11-04736.

3.     “Measuring the Uncertainties of Pandemic Influenza” (2012), Fair, Jeanne M., Powell, Dennis R., Leclaire, Rene, Moore, Leslie M., Wilson, Michael, Dauelsberg, Lori R., Samsa, Michael, Deland, S., Hirsch, G., Klare, Perry, and Bush, Brian, International Journal of Risk Assessment and Management, Vol 16, No 1/2/3, pp. 1-27, LA-UR-08-06016. (Research noted in Science News section of ScienceDaily, July 2,2012 link http://www.sciencedaily.com/releases/2012/07/120702153107.htm)

4.     “Global Sensitivity Analysis for Mixture Experiments” (2011), Loeppky, Jason, Williams, Brian, and Moore, Leslie, Technometrics, 55, 68-78, LA-UR 11-01763.

5.     “Projection array based designs for computer experiments” (2011), Loeppky, Jason, Moore, Leslie M., and Williams Brian, Journal of Statistical Planning and Inference, Vol 142, no 6, pps. 1493-1505, LA-UR 11-00724. (1)

6.     “Batch Sequential Designs to Achieve Predictive Maturity with Calibrated Computer Models” (2011), Williams, B., Loeppky, J., Moore, L., and Macklem, M., Quantification of Margins and Uncertainty (QMU) special issue Reliability Engineering & System Safety, Vol 96, Iss 9, pp. 1208-1219, LA-UR-10-03121. (4)

7.     “Batch Sequential Designs for Computer Experiment” (2010), Loeppky, J., Moore, L., and Williams, B., Journal of Statistical Planning and Inference, Vol 140, no 6, pp. 1452-1464, LA-UR-09-5818. (7)

8.     “Elementary Statistical Methods and Measurements” (2010), Vardeman, S., Hamada, M., Burr, T., Wendelberger, J., Moore, L., Morris, M., Wu, H., and Jobe, J., The American Statistician, 64, 46-51, LA-UR-09-0228. (1)

9.     “Making Tradeoffs in Designing Scientific Experiments: A Case Study with Multi-Level Factors” (2009), Wendelberger, Joanne R., Moore, Leslie M. and Hamada, Michael S., Quality Engineering, Vol. 21, Number 2, pp. 143-155, LA-UR-03-8142. (1)

10.  “Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models” (2008), Morris, Max D., Moore, Leslie M., and McKay, Michael D., Technometrics, Vol. 50, issue 2, pp. 205-215, LA-UR-05-8994. (6)

11.  “Factorial Designs with Multiple Levels of Randomization” (2008), Bingham, Derek, Sitter, Randy, Kelly, Elizabeth, Moore, Leslie, and Olivas, J. David, Statistica Sinica, Vol. 28, issue 2, pp. 493-513, LA-UR-05-7658. (3)

12.  “Combining Experimental Data and Computer Simulations with an Application to Flyer Plate Experiments” (2006), Williams, B., Higdon, D., Gattiker, J., Moore, L., McKay, M., and Keller-McNulty, S., Bayesian Analysis, 1, 4, pp. 765-792, LA-UR-05-4951. (7)

13.  “Sampling Plans Based on Balanced Incomplete Block Designs for Evaluating the Importance of Computer Model Inputs” (2006), Morris, Max D., Moore, Leslie M., and McKay, Michael D., Journal of Statistical Planning and Inference, 136, 9, pp. 3203-3220, LA-UR-04-8688. (7)

14.  “Combined Array Experiment Design” (2005), Moore, Leslie M., McKay, Michael, and Campbell, Katherine, Reliability Engineering and Systems Safety Journal, 91, 10-11, pp. 1281-1289, LA-UR-05-1740. (5)

15.  “Bayesian Prediction Intervals and their Relationship to Tolerance Intervals” (2004), Hamada, M., Johnson, V., Moore, L. and Wendelberger, J., Technometrics, 46, 4, pp. 452-459. (11)

16.  “Minimax Distance Designs in Two-level Factorial Experiments” (1995), John, P. W. M., Johnson, Mark E., Moore, Leslie, M., and Ylvisaker, D., Journal of Statistical Planning and Inference 44, pp. 249-263, LA-UR-91-2499. (7)

17.  “Minimax and Maximin Distance Designs” (1990), Johnson, Mark E., Moore, Leslie M., and Ylvisaker, D., Journal of Statistical Planning and Inference 26, pp. 131-148, LA-UR-88-3904. (260)

18.  “Approximate One-Sided Tolerance Bounds on the Number of Failures Using Poisson Regression” (1988), Moore, L. M., and Beckman, R. J., Technometrics, v.30, no.3, p.283-290, LA-UR-86-1635. (4)

19.  “Singular Factorial Designs Resulting from Missing Pairs of Designs Points” (1988), Moore, L. M., Journal of Statistical Planning and Inference 19, pp. 325-340, LA-UR-86-0709. (3)


Research Papers in Review

1.     “On Algorithms for Obtaining Orthogonal and Nearly-Orthogonal Arrays” (2012). Lekivetz, R. Sitter, R., Bingham, D., Hamada, M., Moore, L., Wendelberger, J., LA-UR 12-00614, to appear Journal of Quality Technology.

2.     “Sex Ratio and Contaminant Impacts: Adaptive and Environmental Constraints” (2011), Fair, J., Jankowski, R., Ryti, R., Hamada, M., Reneau, S., and Moore, L., LA-UR-09-05230, submitted to Environmental Research.

3.     “Zoonotic Biosurveillance Planning Informed by Epidemiological Simulation: Avian Influenza in Nigeria” (2011), Brown, Mac, Moore, Leslie, Powell, Dennis, McMahon, Benjamin, LaBute, Montiago, Hyman, James, Rivas, Ariel, Greene, Mary, Jankowski, Mark, Berendzen, Joel, Loeppky, Jason, Fair, Jeanne, LA-UR 11-10418, submitted to PLOS ONE.

Selected Proceedings Papers

1.     “Uncertainty quantification for carbon capture simulation” (2012), Moore, Leslie M., Bhat, Sham, Wendelberger, Joanne R., and Mebane, David, LA-UR 12-00277, LANL ADTSC Science Highlights 2012.

2.     "Evaluation of a Process Change for Aluminum Laminate Production" (2011), Whitton, Christin S., and Moore, Leslie M., poster presentation and proceedings paper JSM 2011, August 2011, Miami, FL, LA-UR 11-04430.

3.     “Statistical Design for Uranium Corrosion Experiments” (2009), Wendelberger, J. and Moore, L., LA-UR-09-0088, LANL ADTSC Science Highlights 2009.

4.     “Distributions for Case Mortality Rate Based on Historic Pandemic Influenza Death Rates” (2008), Powell, E., Hamada, M., Moore, L., and Powell, D., JSM 2008 Proceedings, Denver, CO, Alexandria, VA: American Statistical Association, LA-UR-08-06913.

5.     “Failure Rate Analysis Using GLIMMIX” (1998), Moore, Leslie M., Hemphill, Geralyn M., and Martz, Harry F., Jr., Proceedings PSAM 4:  Probabilistic Safety Assessment and Management, New York, 1998, LA-UR-98-1746.

Selected Presentations

1.     “Statistical Challenges and Solutions in Physical and Computational Experiments” (2014), Wendelberger, Joanne and Moore, Leslie M., LA-UR 14-25558, invited presentation at 2014 Joint Statistical Meetings, August, 2014, Boston, MA.

2.     “Statistical Design of a Uranium Corrosion Experiment” (2013), Moore, Leslie M., Wendelberger, Joanne, Dean, Angela, Schulze, Roland, and Hill, Mary Ann, LA-UR 09-06059, contributed presentation at 2013 Quality and Productivity Conference, June 5, 2013, GE Global Research, Niskayuna, NY.

3.     “What Goes Around, Comes Around: The Value of Professional Organization and Conference Participation in My Career” (2013), Moore, Leslie M., presentation on receiving Don Owen award at Conference of Texas Statisticians banquet, March 23, 2013, Rice University, Houston, TX.

4.     “Sampling and Analysis of Scarlatti Sonatas” (2012), Powell, Aubrie M., Key-Campbell, Nina, Morris, Max, Hamada, Michael S., Moore, Leslie M., LA-UR 12-23170, poster presentation LANL Student Symposium August 2012.

5.     “Comparing Mitigation Effects under Uncertainty in a Simulated Influenza Outbreak” (2012), Moore, Leslie M., Powell, Dennis R., Fair, Jeanne M., LeClaire, Rene J., Wilson, Michael, LA-UR 12-26921, invited seminar presentation at Texas A&M University – Corpus Christi, November 16, 2012, Corpus Christi, TX.

6.     “Comparing Mitigation Effects under Uncertainty in a Simulated Disease Outbreak” (2011), Moore, Leslie M., Powell, Dennis R., Fair, Jeanne M., LeClaire, Rene J., Wilson, Michael, LA-UR 10-00592, invited presentation at International Conference on Design of Experiments, May 2011, Memphis, TN and invited presentation at Conference for Section on Defense and National Security, May 2012, George Mason University, Fairfax, VA.

7.     “Experimental Designs for a Disease Mapping Study” (2011), Loepkky, Jason L., Moore, Leslie M., Brown, Mac G., Fair, Jeanne M., and Powell, Dennis R., LA-UR 11-00833, invited presentation at International Conference on Design of Experiments, May 2011, Memphis, TN.

8.     “Fair Assignment of Posters to Judges” (2011), Whitton, Christin S., and Moore, Leslie M., LA-UR 11-04891, poster presentation LANL Student Symposium August 2011, recipient best student poster award in Mathematics (LA-UR 11-04890, report).

9.      “Sequential Computer Experiment Planning: Bin-Based LHS Design” (2009), Moore, L., Loeppky, J., and Williams, B., LA-UR 09-07033, invited presentation SRC 2009 (Spring Research Conference, Vancouver, CA, May 2009).

10.  “Uncertainty Analysis of Pandemic Influenza Impacts” (2008), Powell, D., Fair, J., LeClaire, R., Dauelsberg, L., Moore, L., Bush, B., Klare, P., Deland, S., Wilson, M., Turk, A., Hirsch, G., Samsa, M., and Molburg, J., LA-UR-08-1473, invited presentation at DEMA 2008 (Designed Experiments:  Recent Advances in Methods and Applications, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, August 2008).

11.   “Computer Experiment Designs:  Achieving Multiple Objectives” (2006), Moore, Leslie M., LA-UR-05-8222, invited presentation at Interface Meeting (Pasadena, CA, May, 2006), at DEMA2006 (Designed Experiments:  Recent Advances in Methods and Applications, Southampton, UK, Sept. 6-10, 2006), and at Joint Engineering and Methodology Subprograms Workshop of the Statistical and Applied Mathematical Sciences Institute (SAMSI) program on Development, Assessment, and Utilization of Complex Computer Models, Oct. 26-27, 2006, Research Triangle Park, NC.

Selected Technical Reports

1.      “SDC (Silent Data Corruption) Laboratory Testing Experimental Design and Hardware Techniques” (2008), Connor, Carolyn M., Dubois, Andrew J., Dubois, David H., Michalak, Sarah E., and Moore, Leslie M., LA-UR-08-02842.

2.     “Actuated Signals in TRANSIMS” (2001), Barrett, Christopher L., Beckman, Richard J., Berkbigler, Kathryn P., Bush, Brian W., Moore, Leslie M., and Visarraga, Darrin,  LA-UR-01-4609.

3.      “Statistical Uncertainty Bounds for Polymer Degradation in High Explosives” (1999), Moore, Leslie M., and Wendelberger, Joanne R., LA-UR-99-4135.

4.      “Statistical Test of Reproducibility and Operator Variance in Thin-section Modal Analysis of Textures and Phenocrysts in the Topopah Spring Member, Drill Hole USW VH-2, Crater Flat, Nye County, Nevada” (1989), Moore, Leslie M., Byers, Frank M., Jr., and Broxton, David E., LA-11452-MS, 47p.

5.     “Design Guide for Experiments at NTB” (1988), Johnson, Mark E., and Moore, Leslie M., LA-UR-88-2590.