Z.Q. John Lu: CURRICULUM VITAE
Last updated: April 2009

CONTACT INFORMATION
Office:
Room A262, Building 222,
Statistical Engineering Division, Information Technology Laboratory,
National Institute of Standards and Technology,
100 Bureau Drive,
Gathersburg, MD 20899-8980.
Office Phone:
301-975-3208
Division Fax:
301-975-3144
Email:
john.lu@nist.gov
Personal Information:
Name used officially and in previous publications: Zhan-Qian Lu
Naturalized Citizen of U.S.A., born in Anhui Province, China.
Married, two daughters, Michelle and Julia.

RESEARCH STATEMENT

My general interest is in cross-disciplinary statistical research. I have worked on important societal problems in numerical weather prediction, polymer mass spectrometry, gene expression microarray experiments, and more recently in cell metrology and cancer imaging biomarkers. My statistical expertise is in broad statistical methodology and statistical theory. In the past I have worked extensively in time series analysis and multivariate statistics. My current interests are in Bayesian methods, computational biology, functional data analysis, and statistical image analysis.

JOB HISTORY

EDUCATION

  • B.S. in Mathematics, major in Probability and Mathematical Statistics, Peking University, 1982-1986.

  • Graduate Study in Applied Statistics (no degreee conferred), Beijing University of Technology, 1986-1989.
    Advisors: Yang Zhenhai (BJUT), Xiang Kefeng (Institute of Systems Science, Chinese Academy of Sciences, Beijing, China).

  • Ph.D. and M.S. in Statistics, Department of Statistics, University of North Carolina, Chapel Hill, North Carolina, 1989-1994.
    Advisor: Richard L. Smith.
    Examination Committee: Jianqing Fan, Gopinath Kallianpur, Steve Marron, Doug Nychka.

  • Post-doctoral training /visiting scientist, Geophysical Statistical Project, National Center for Atmospheric Research, Boulder, Colorado, 1995-1997.
    Mentor and project leader: L. Mark Berliner, Ohio State Univeristy.

PROFESSIONAL MEMBERSHIP

  • American Statistical Association, since 1998.
  • Life-time member, Institute of Mathematical Statistics.

PROFESSIONAL SERVICE

  • Organizing Committee, UseR! 2010, Gaithersburg, Maryland.

  • Program Committee, ICSA 2008 Applied Statistics Symposium, Piscataway, New Jersey.
  • Program Committee, ICSA 2006 Applied Statistics Symposium, Bethesda, Maryland.

  • Program Committee, Interface 2007, philadelphia, pennsylvania.
  • Program Committee, Interface 2006, Pasadena, Californina.
  • Program Committee, Interface 2004, Baltimore, Maryland.

DIVISIONAL SERVICE

Co-Chair, Statistical Engineering Division Seminar Series.

INSTITUTE-WIDE SERVICE

NIST Research Library, Subject Specialist (Statistics, Biology).

SELECTED CONFERENCE TALKS AND SCIENTIFIC PRESENTATIONS, SINCE 2001.

  • November 5-9, 2007. Metrology and Robust Statistical Methods for High Throughput Biological Measurements at Cellular and System Levels.
    Invited 45-minute talk in Systems Biology workshop, Special Semester on Quantitative Biology analyzed by Mathematical Methods, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, Austria.

  • November 4, 2007. Multiphase Regression Models for Assessing Highly Multivariate Measurement Systems.
    George Washington University, Department of Statistics Seminar. Washington DC, USA.

  • July 2007. Nonlinear Measurement Error Models for Assessing High Throughput Genomic Experiments.
    Poster Session in The 26th Annual Statistical Research Conference on Systems Biology and Statistical Bioinformatics. The University of Leeds, Department of Statistics, Leeds, UK.

  • July 2007. Stochastic Modeling in Gene Expression Measurements: Accounting for Both Background Error and Signal Saturation.
    The 14th INFORMS Applied Probability Conference. Eurandom, Eindhoven, The Netherlands.

  • May 23-27, 2007. Organized and chaired an invited session on Metrology and Inference of Complex Biological and Engineered Systems.
    The 39th Symposium on the Interface: Systems Biology. Philadelphia, PA.

  • April 23-24, 2007. Toward 3-D Topography Using Curvature-based Geometry Measuring Machine.
    Invited talk at the Workshop on 2d and 3d Content Representation, Analysis, and Retrieval, Gaithersburg, MD, USA.

  • April 2007. Statistical Analysis of Data as Curves: Fascinating Problems from Metrology.
    UMBC, Department of Math and Stat Seminar Series, Baltimore, MD, USA.

  • September 2006. Statistical Methods for Holistic Mass Spectral Data Analysis.
    Conference on Nonparametric Statistics and Related Topics. Carleton University, Ottawa, Canada.

  • May 2006. Organized and Chaired a Special Focus Session on 3-d Topography and Image Analysis.
    The 38th Symposium on the Interface: Massive Data Sets and Streams. Pasadena, CA.

  • April 3-7, 2006. Statistics and Metrology for Geometry Measuring Machine (GEMM).
    Poster presentation in Shape Spaces. Institute for Mathematics and its Applications (IMA), the University of Minnesota, Minneapolis, MN.

  • May 22-23, 2003. Combinatorial Experimental Strategies.
    Invited presentation at the NIST Combinatorial Methods Center (NCMC) workshop 3: Combinatorial Informatics. NIST, Gaithersburg, Maryland.

  • May 19-23, 2002. SVD-Based Structured Kernel Regression: A New Method for High-Dimensional Prediction.
    2002 Spring Research Conference on Statistics in Industry and Technology, Ann Arbor, Michigan.

BOOKS

  • Modeling and Forecasting Financial Data, Techniques of Nonlinear Dyanmics.
    Series: Studies in Computational Finance, Vol. 2 Soofi, Abdol S.; Liangyue Cao (Eds.) Springer-Verlag, 2002.
    pp.115-135, chapter 5, Local Polynomial Prediction and Volatility Estimation in Financial Time Series (Z.Q. Lu).

  • Studies in Atmospheric Sciences, Series: Lecture Notes in Statistics, Vol. 144 Berliner, Mark L.; Nychka, Douglas; Hoar, Timothy (Eds.) Springer-Verlag, 2000.
    pp. 65-78, Experimental design for spatial and adaptive observations, by Z.Q.Lu, L.M.Berliner, C.Snyder.

  • Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences.
    Edited by: Colleen D. Cutler, Daniel T. Kaplan. A co-publication of the American Mathematical Society and Fields Institute, 1997.
    Fields Institute Communications, Volume 11.
    pp. 135-151, Estimating Local Lyapunov Exponents (Z.Q. Lu, R.L. Smith).

  • Estimating Lyapunov Exponents in Chaotic Time Series with Locally Weighted Regression. Z.Q. Lu (1994). PhD Thesis, University of North Carolina, Chapel Hill. Published by UMI.

BOOK REVIEWS

  • Z.Q. J. Lu (2008). Optimum Experimental Designs, with SAS. Journal of the Royal Statistical Society: Series A (Statistics in Society). Volume 171, Issue 2, Pages 504 - 504.
  • Z. Q. J. Lu (2008). Nonparametric Statistics With Applications to Science and Engineering, by Paul H. Kvam and Brani Vidakovic. Technometrics. May 1, 2008, 50(2): 237-237.
  • Z. Q. Lu (2007) . Bayesian Inference for Gene Expression and Proteomics. Journal of the Royal Statistical Society: Series A (Statistics in Society). 170 (4), 1181-1181.
  • Z. Q. Lu (2007). DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments. Journal of the Royal Statistical Society: Series A (Statistics in Society) 170 (4), 1178-1179.
  • Z. Q. Lu (2007). Pattern Theory: From Representation to Inference, by Ulf Grenander and Michael Miller. Journal of Applied Statistics, Vol.34, No.6, 763-763. August 2007.
  • Z. Q. Lu (2007) . Nonparametric Functional Data Analysis: Theory And Practice, by Frederic Ferraty and Philippe Vieu. Technometrics, Volume 49, Number 2, May 2007, pp. 226-226(1), American Statistical Association.
  • Z.Q. John Lu (2007). Stereology for Statisticians (Adrian Baddeley, Jensen EBV), Statistical Methods in Medical Research, Vol. 16, No. 4, 377-378 (2007).
  • Z. Q. Lu (2006) Functional Data Analysis, 2nd edition, by J.O. Ramsay and B.W. Silverman Journal of Applied Statistics, Vol.33, No.4, 463-466, May 2006.
  • Z. Q. Lu (2004) Nonlinear Time Series: Nonparametric and Parametric Methods by J. Fan, Q. Yao. Technometrics, Vol.46, No.1, 114-115.

PAPERS PUBLISHED OR ACCEPTED IN REFERRED JOURNALS

  • Z.Q. J. Lu, N. Lowhorn, W. Wong-Ng, W. Zhang et al (2009). Statistical analysis of a round-robin measurement survey of two candidate materials for a Seebeck coefficient Standard Reference Material. NIST Journal of Research, Vol.114, No.1, 37-55.

  • N. Lowhorn, W. Wong-Ng, W. Zhang, Z.Q. Lu et al (2009). Round-robin measurements of two candidate materials for a Seebeck coefficient Standard Reference Material. Applied Physics A, Volume 94, Number 2, February 2009 , pp. 231-234(4).

  • M. B. Satterfield, K.Lippa, Z.Q. Lu, M.L. Salit (2008). Microarray Scanner Performance Over a Five-Week Period as Measured With Cy5 and Cy3 Serial Dilution Slides. Journal of Research of the National Institute of Standards and Technology, Volume 113, Number 3, May-June 2008.

  • N. Machkour-Deshayes, J. Stoup, Z. Q. Lu, J. Soons, U. Griesmann, R. Polvani (2006). Form-profiling of Optics Using the Geometry Measuring Machine and the M-48 CMM at NIST. Journal of Research of NIST, September-October 2006, Vol.111, No.5, pp.373-384.

  • K. A. Snyder, Z. Q. Lu, J. Phillips (2006) . Long-term Monitoring Strategy for Concrete-based Structures Using Nonlinear Kalman Filtering. Journal de Physique IV, Vol. 136, pp. 191-200. December 2006.

  • R. L. Paul, D. S. Simons, W. F. Guthrie, Z. Q. Lu (2003). Radiochemical Neutron Activation Analysis for Certification of Ion-Implanted Phosphorus in Silicon. Anal. Chem., 75 (16), 4028 -4033, 2003.

  • Some statistical considerations associated with the data assimilation of precipitation observations. R.M. Errico, L.Fillion, D.Nychka, Z.Q. Lu, Quarterly Journal of the Royal Meteorological Society. Vol. 126, no. 562, part A 339-360. January 01, 2000.

  • Statistical Design for Adaptive Weather Observations(L. M. Berliner, Z. Q. Lu, C. Snyder). Journal of the Atmospheric Sciences: Vol. 56, No. 15, 2536-2552. August, 1999.

  • Markov switching time series models with application to a daily runoff series (Z.Q. Lu, L. M. Berliner). Water Resources Research, Vol. 35, No. 2, 523-534. Feb. 1999.

  • Nonparametric Regression with Singular Design. Journal of Multivariate Analysis, 1999, Vol.70, 177-201.

  • Multivariate local polynomial fitting for martingale nonlinear regression models. Annals of Instititute of Statistical Mathematics , Vol.51, No.4, 691-706. December, 1999.

  • Multivariate locally weighted polynomial fitting and partial derivative estimation. Journal of Multivariate Analysis, 1996, 59, 187-205.

PROCEEDINGS AND UNPUBLISHED MANUSCRIPTS

  • Z. Q. Lu (2007) . Nonlinear measurement error models for high throughput genomic experiments In S. Barber, P.D. Baxter, & K.V.Mardia (eds), Systems Biology & Statistical Bioinformatics, pp. 115. Leeds, Leeds University Press
  • Z. Q. Lu, W. F. Guthrie (2004) Bayesian Methods for Statistical Inference on the Common Mean from Multiple Data Sources. Proceedings of ASPE 2004 Summer Topic Meeting - Uncertainty Analysis in Measurement and Design, pp 95-99.
  • Z. Q. Lu, D. B. Clarkson(1999). Monotone spline and multidimensional scaling. Proceedings of American Statistical Association, Section of Statistical Computing, pp. 185-190.
  • D. B. Clarkson, R. Gonzalez, Z. Q. Lu (1999) . Random Effects of Multidimensional scaling. Proceedings of the 31st Symposium on the Interface: Computing Science and Statistics, 1999.
  • Statistical Estimation of Local Lyapunov Exponents: Toward Characterizing Predictability in Nonlinear Systems. First version 1994, Last revision 1997.

MANUSCRPTS IN SUBMISSION PROCESS

  • Z.Q. Lu, M. Satterfield, M. Salit (2009). Model-based Performance Metrics and Background Correction for Gene Expression Measurement Validation. In Revision for Annals of Applied Statistics.
  • Z.Q. J. Lu, C. Fenimore, C.C. Jaffe (2009). An Empirical Bayes Approach to Robust Variance Estimation: a Statistical Proposal for Quantitative Medical Imaging Testing. In review by Journal of the Royal Statistical Society: Series A (Statistics in Society).
  • Z. Q. Lu, C. M. Guttmann (2007) . Robust Analysis of Variance For Holistic Analysis of Molecular Mass Distributional Measurement Experiments. Invited revision for Annals of Applied Statistics.

SOFTWARE

K. M. Mullen, M. Halter, Z.Q. J. Lu and N. Dodder (2009). R package: cellVolumeDist for Cell Volume Distributions Reveal Cell Growth Rates and Division Times, J. of Theor. Biology. Mar 7, 2009;257(1):124-30.