Dr. Christian L Keppenne

Photo of CHRISTIAN KEPPENNE

Dr. Christian L Keppenne

  • 301.614.5874 | 301.614.5644
  • NASA/GSFC
  • Mail Code: 610.1
  • Greenbelt , MD 20771
  • Employer: SCIENCE SYSTEMS AND APPLICATIONS INC
  • Brief Bio

    Christian Keppenne is a senior expert level computational scientist with expertise in high performance distributed computing, sequential Monte Carlo methods, Kalman filtering, adaptive spectral analysis and statistical prediction. He has presented his work at many (50+) scientific conferences and has authored numerous (20+) peer-reviewed articles on inverse modeling, data assimilation, adaptive statistical prediction, numerical climate modeling, and on the application of ensemble Kalman filters and particle filters to meteorological data assimilation. Dr. Keppenne develops and maintains the NASA Global Modeling and Assimilation Office (GMAO) integrated Ocean Data Assimilation System (iODAS). This system is used routinely at the NASA Goddard Space Flight Center (GSFC) to generate initial conditions for coupled ensemble forecasts.

    Areas of expertise and interest:
    - Distributed scientific computing
    - Data assimilation
    - High resolution ocean modeling
    - Numerical analysis
    - Numerical Optimization
    - Statistical prediction
    - Adaptive signal processing

    Positions/Employment

    2012 - Present

    Chief Research Scientist

    SSAI, NASA Goddard Space Flight Center
    1998 - 2012

    Lead Scientific Application Programmer

    SAIC, NASA Goddard Space Flight Center
    1996 - 1997

    Senior Application Programmer

    UCLA, Crump Institute for Biomedical Imaging
    1991 - 1996

    Member of Technical Staff

    California Institute of Technology, Jet Propulsion Laboratory
    1990 - 1991

    Postdoctoral Fellow

    UCLA, Los Angeles, CA

    Education

    Ph.D., Sciences Naturelles Appliquées, 1989, Catholic University of Louvain, Belgium
    M.S., Sciences Naturelles Appliquées, 1987, Catholic University of Louvain, Belgium
    M.S., Environmental Engineering, 1986, Catholic University of Louvain, Belgium

    Brief Bio

    Christian Keppenne is a senior expert level computational scientist with expertise in high performance distributed computing, sequential Monte Carlo methods, Kalman filtering, adaptive spectral analysis and statistical prediction. He has presented his work at many (50+) scientific conferences and has authored numerous (20+) peer-reviewed articles on inverse modeling, data assimilation, adaptive statistical prediction, numerical climate modeling, and on the application of ensemble Kalman filters and particle filters to meteorological data assimilation. Dr. Keppenne develops and maintains the NASA Global Modeling and Assimilation Office (GMAO) integrated Ocean Data Assimilation System (iODAS). This system is used routinely at the NASA Goddard Space Flight Center (GSFC) to generate initial conditions for coupled ensemble forecasts.

    Areas of expertise and interest:
    - Distributed scientific computing
    - Data assimilation
    - High resolution ocean modeling
    - Numerical analysis
    - Numerical Optimization
    - Statistical prediction
    - Adaptive signal processing

                                                                                                                                                                                            
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