New Mexico Small Business Association Success Story, 2015
American Statistical Association Chapter Service Recognition Award, 2014
Los Alamos Achievement Award, 2007, 2011-2013, 2015
Early Career Scholarship, Isaac Newton Institute for Mathematical Sciences, 2011
Certificate of Appreciation, ASA Section on Physical and Engineering Sciences, 2011
AT&T Labs Fellowship, 1999-2005
Student Paper Competition Winner, Statistical Computing and Graphics Sections of the American Statistical Association, 2004
Student Scholarship, Spring Research Conference on Statistics in Industry and Technology, 2004 and 2005
Outstanding Reviewer Award, American College of Gastroenterology, 2004
Carnegie Scholars Program Fellowship, 1999-2003
Election to Phi Beta Kappa, Phi Kappa Phi, and Sigma Xi, 1999
Richard Schoenwald Phi Beta Kappa Undergraduate Research Prize, 1999
Lucent Technologies First Prize, Sigma Xi Undergraduate Research Competition, 1999
Professional Societies
Phi Beta Kappa
Phi Kappa Phi
American Statistical Association
Sigma Xi Scientific Research Society
Association for Women in Mathematics
Publications
C.M. Anderson-Cook, K.L. Myers, L. Lu, M. Fugate, K.R. Quinlan, N. Pawley. How to Host an Effective Data Competition: Statistical Advice for Competition Design and Analysis. Statistical Analysis and Data Mining, 1-19, (2019)
J. Plasse, J. Noble, and K. Myers. An Adaptive Modeling Framework for Bivariate Data Streams with Applications to Change Detection in Cyber-Physical Systems. In 2017 IEEE International Conference on Data Mining Workshops, pp. 1074-1081 (2017)
K.R. Quinlan, C.M. Anderson-Cook, and K.L. Myers. The Weighted Priors Approach for Combining Expert Opinions in Logistic Regression Experiments. Quality Engineering, DOI 10.1080/08982112.2017.1319956 (2017)
K. Myers, E. Lawrence, M. Fugate, C. McKay Bowen, L. Ticknor, J. Woodring, J. Wendelberger, and J. Ahrens. Partitioning a Large Simulation as It Runs. Technometrics, DOI 10.1080/00401706.2016.1158740 (2016)
B. Nouanesengsy, J. Woodring, J. Patchett, K. Myers, and J. Ahrens. ADR Visualization: A Generalized Framework for Ranking Large-Scale Scientific Data Using Analysis-Driven Refinement. In 4th IEEE Symposium on Large Data Analysis and Visualization (LDAV) (2014)
Y. Su, G. Agrawal, J. Woodring, K. Myers, J. Wendelberger, J. Ahrens. Effective and Efficient Data Sampling Using Bitmap Indices. Cluster Computing, 17(4), 1081-1100 (2014)
Y. Su, G. Agrawal, J. Woodring, K. Myers, J. Wendelberger, J. Ahrens. Taming Massive Distributed Datasets: Data Sampling Using Bitmap Indices. 22nd International ACM Symposium on High Performance Parallel and Distributed Computing, 13-24 (2013)
T. Burr, M.S. Hamada, K. Myers, M. Skurikhin. Point-Source Detection Using Gamma-Ray Spectra in Radiation-Portal Monitoring. Journal of Quality Technology, 45(3), 285-296 (2013)
C. Longo, T. Burr, K. Myers. Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards. Axioms (2), 271-285 (2013)
T. Burr, A. Bakel, S. Bryan, K. Budlong-Sylvester, J. Damico, S. Demuth, M. Ehinger, H. Garcia, J. Howell, S. Johnson, J. Krebs, K. Myers, C. Orton, M. Thomas. Roles for Process Monitoring in Nuclear Safeguards at Aqueous Reprocessing Plants. Journal of Nuclear Materials Management, 40(2), 42-53 (2012)
D. Hush, N. Pawley, K. Myers, R. Nemzek. A comparison of methods for estimating broadband noise in the frequency domain. In Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, 316-320 (2011)
D.I. Moody, S.P. Brumby, K.L. Myers, N.H. Pawley. Radio frequency (RF) transient classification using sparse representations over learned dictionaries. In SPIE Optical Engineering Applications, International Society for Optics and Photonics, doi:10.1117/12.898894 (2011)
D.I. Moody, S.P. Brumby, K.L. Myers, N.H. Pawley. Classification of transient signals using sparse representations over adaptive dictionaries. In SPIE Defense, Security, and Sensing, International Society for Optics and Photonics, doi:10.1117/12.883341 (2011)
D.I. Moody, S.P. Brumby, K.L. Myers, N.H. Pawley. Sparse classification of RF transients using chirplets and learned dictionaries. In Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, 1888-1892 (2011)
S. Brumby, K. Myers, and N. Pawley. Capturing dynamics on multiple time scales: A multilevel fusion approach for cluttered electromagnetic data. SPIE Defense, Security, and Sensing (2010)
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