Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)
Chapter: Amy Braverman Statistical Challenges in the Production and Analysis of Remote Sensing Earth Science Data at the Jet
Amy Braverman
Statistical Challenges in the Production and Analysis of Remote Sensing Earth Science Data at the Jet Propulsion Laboratory
Transcript of Presentation and PowerPoint Slides
BIOSKETCH: Amy Braverman is a statistician at the Jet Propulsion Laboratory. She received a PhD in statistics from the University of California, Los Angeles, in 1999 and an MA in mathematics in 1992, also from UCLA. From 1999 to 2001 she was a Caltech postdoctoral scholar at the Jet Propulsion Laboratory (JPL) and was hired as permanent staff in late 2001.
Dr. Braverman’s research focuses on data reduction techniques for massive data sets. These methods are based on statistical clustering and signal processing algorithms modified for use in data analytic settings. At JPL Dr. Braverman serves on project teams for the Atmospheric Infrared Sounder (AIRS) and the Multi-angle Imaging SpectroRadiometer (MISR). She is responsible for the design of data reduction algorithms. She is also involved in active research collaborations with JPL’s Machine Learning Group to develop data mining techniques and tools for data from NASA’s Earth Observing System. Dr. Braverman has published in both statistics and geoscience journals, is active in the American Statistical Association and the American Geophysical Union, and is an officer of the Interface Foundation of North America.
