Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo
Bookmark and Share

Antonio Possolo, Ph.D.

Born in Lisboa, Portugal, a naturalized U.S. citizen, living in the U.S. since 1978, earned a Licenciate in Geology from the Classical University of Lisboa, Portugal, and a Ph.D. in statistics from Yale University (under John Hartigan’s guidance).

Pre-doctoral professional engagements
Lecturer in the Classical University of Lisboa
Geologist of the Geological Survey of Portugal
Research Assistant to John Hartigan (Yale)
Teaching Assistant for Frank Anscombe (Yale)
Research Assistant to Felix Chayes (Geophysical Laboratory, Carnegie Institution of Washington)
Post-doctoral professional engagements
Assistant Professor in the statistics departments of Princeton University and of the University of Washington in Seattle
Associate Technical Fellow of The Boeing Company (1989-2000)
Statistician of The General Electric Company (2000-2006)
Chief of NIST’s Statistical Engineering Division since October 1st, 2006

Professional interests

spatial statistics
point processes
environmental remote sensing
measurement uncertainty
foundations of probability theory and of statistical inference

Other interests

classical music (romantic repertoire and Bel canto opera)


Secretarial Honor Award, U.S. Department of Energy, 2011 — In recognition of your contributions to the Flow Rate Technical Group / Nodal Analysis Team's swift and effective response to the Deepwater Horizon oil spill [...] helping to speed the ultimate solution and reduce the environmental cost of the disaster.

U.S. Geological Survey Director's Award, 2010 — for exemplary service to the Nation in relation with the Deepwater Horizon oil spill: your answers and insights helped guide important decisions and made a very real and positive difference during the response to this unprecedented oil spill event.

Gold Medal (Scientific/Engineering Achievement), U. S. Department of Commerce, 2010 — for extraordinary dedication and technical achievements in the application of statistical methods to measurement science to characterize and improve the estimates of areas dedicated to illicit coca cultivation.

Recent publications

  • 2011. J. B. Hubbard, M. R. Stoudt, and A. M. Possolo, Topographic analysis and Weibull regression for prediction of strain localisation in an automotive aluminium alloy, Materials Science and Technology, 27 (7): 1206-1212.
  • 2011. F. R. Guenther and A. Possolo. Calibration and uncertainty assessment for certified reference gas mixtures. Analytical and Bioanalytical Chemistry, 399: 489-500.
  • 2010. A. L. Rukhin and A. Possolo. Laplace random effects models for interlaboratory studies. Computational Statistics and Data Analysis, 55: 1815-1827.
  • 2010. B. Lehr, S. Bristol, and A. Possolo (Lead Authors). Oil Budget Calculator — Deepwater Horizon. Technical Documentation: A Report by The Federal Interagency Solutions Group, Oil Budget Calculator Science and Engineering Team. National Oceanic and Atmospheric Administration. URL
  • 2010. A. Possolo. Copulas for uncertainty analysis. Metrologia 47(3): 262-271.


NIST Fellow / Chief Statistician
Statistical Engineering Division

Employment History:

  • National Institute of Standards & Technology, U.S. Department of Commerce:
    NIST Fellow & Chief Statistician,
    Statistical Engineering Division,
    June 2014 - Present
  • National Institute of Standards & Technology, U.S. Department of Commerce:
    Statistical Engineering Division,
    September 2006 - June 2014
  • The General Electric Company, GE Global Research:
    Statistician, August 2000 - September 2006  
  • The Boeing Company:
    Associate Technical Fellow

    March 1989 - August 2000  
  • University of Washington:
    Assistant Professor
    Department of Statistics, and
    Adjunct Assistant Professor,
    Department of Geological Sciences
    September 1984 - March 1989  
  • Princeton University:
    Assistant Professor
    Department of Statistics
    August 1983 - August 1984


  • Ph.D. (Statistics),
    December 1983,
    Yale University
  • Licenciate (Geology),
    October 1975,
    Classical University of Lisboa, Portugal

Phone: 301-975-2853
Email: antonio.possolo@nist.gov
Fax: 301-975-3144