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  1. Dr. Amy Braverman is a Principal Statistician at the Jet Propulsion Laboratory in Pasadena, California. She received her doctorate in statistics from the University of California, Los Angeles (UCLA), a masters in Mathematics from UCLA, and a B.A. degree in economics from Swarthmore College, Swarthmore, PA, in 1982.

  2. Dr. Amy Braverman is a statistician specializing in statistical methods for analysis and uncertainty quantification in remote sensing. After graduating from Swarthmore College in 1982 with a B.A. in Economics, Dr. Braverman worked for nearly a decade in litigation support consulting.

  3. Amy J. Braverman is an American statistician who analyzes remote sensing data and climate models as a senior research scientist at the Jet Propulsion Laboratory. She has also served as co-chair of the Climate Change Policy Advisory Committee of the American Statistical Association.

  4. www.imdb.com › name › nm0106010Amy Braverman - IMDb

    Amy Braverman was born on 10 July 1984 in Trumbull, Connecticut, USA. She is an actress, known for Just Looking (1999), Walking and Talking (1996) and A Passover Seder (1994).

    • Actress
    • July 10, 1984
    • Amy Braverman
  5. misr.jpl.nasa.gov › science-team › amy-bravermanMISR: Amy Braverman - NASA

    Amy J. Braverman. Dr. Amy Braverman is Principal Statistician at the Jet Propulsion Laboratory, California Institute of Technology, in Pasadena, CA. She is the Technical Group Lead for Statistical Methods and Applications in the Uncertainty Quantification and Statistical Analysis Group of the Instrument Operations and Science Data Systems Section.

  6. Oct 9, 2020 · 235 subscribers. Subscribed. Like. 196 views 3 years ago STAMPS Webinar Series. STAMPS webinar, October 9, 2020 Speaker: Dr. Amy Braverman (Jet Propulsion Laboratory, California Institute...

    • Oct 9, 2020
    • 196
    • STAMPS Research Group
  7. Amy Braverman. Dr. Braverman is the Technical Group Lead for Statistical Methods and Applications in the Instrument and Science Data Systems Section at JPL. Her research focuses on development and implementation of statistical methods for massive, Earth remote sensing observations.

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