Kenneth Hurst graduated in 1980 from Earlham College in Richmond, Indiana, where he double majored in Geology and Physics. He went on to graduate school at Lamont-Doherty Geological Observatory of Columbia University in New York, earning a Masters in 1982, and a Ph.D. in Geology in 1987. The title of his Ph.D. thesis was "The Measurement of Vertical Crustal Deformation." His advisors were Roger Bilham and Paul Richards. After a post-doc at Lamont, he came to JPL in 1990 to work on development of Global Positioning System (GPS) analysis methods for measuring crustal deformation. In 1996 he received the NASA Award for Excellence, and in 2004 he was inducted into the Space Technology Hall of Fame for this work. In 2001 he became the Group Supervisor for the Data Understanding Systems group. In 2005 he re-entered graduate school at the University of Southern California in pursuit of a Masters in Systems Engineering and Systems Architecture. Ken's professional interests span solid Earth geophysics, machine learning, and space mission design.

Mike Turmon graduated in 1987 from Washington University in St. Louis, receiving bachelor's degrees in Computer Science and in Electrical Engineering. He went on to get a Ph.D. in Electrical Engineering from Cornell University in 1995, with an emphasis on probabilistic theories of learning in neural networks. He came to JPL thereafter, joining the MLS group and later the DUS group. He received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2000. Michael's research interests include pattern recognition, object tracking, maximum-likelihood estimation, and clustering, with applications in object time series and solar image analysis.

Jeff Jewell received his Ph.D. in Astrophysics from the University of Chicago in 2000. He was an NRC Post-Doc at JPL from 2000-2001, and in 2001 became a member of the Senior Level Staff in Information Systems and Computer Science. His research interests are in Bayesian inference for large data sets, inverse problems, dynamical systems, and spatial random fields.

Greg received his B.S. in Physics from Harvey Mudd College in 1975. He earned his M.S. and Ph.D. degrees in Applied Physics from Caltech in 1977 and 1980 respectively. He became a JPL staff member in 1980, continuing to the present. In 1990 he became a professor of Physics at Harvey Mudd College, where in addition to teaching a wide array of undergraduate physics courses, he carries out geophysical research using both numerical and GPS geodetic methods.

Robert Granat graduated from the California Institute of Technology in 1996 with a B.S. in Computation and Neural Systems. He received M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Los Angeles in 1998 and 2004, respectively. His research interests include statistical pattern recognition, particularly as applied to time series data, imaging systems, and fault-tolerant computing.

Amy Braverman holds B.A. in Economics from Swarthmore College (1982), an M.A. in Mathematics from UCLA (1992), and a Ph.D. in Statistics from UCLA (1999). She was a Caltech Post-doctoral Scholar at JPL for two years before joining the Earth and Space Sciences Division as a Scientist. She is the Level 3 Scientist for the Multi-angle Imaging SpectroRadiometer (MISR) mission, and a member of the Level 3 Science Integration Team for the Atmospheric Infrared Sounder mission. In June 2004 she joined the Data Understanding Systems Group though she maintains her positions and roles in the MISR and AIRS projects. Dr. Braverman's research interests are in applications of data compression and information theoretic methods to the analysis of massive data sets and streams, statistical methods for climate model evaluation, data fusion, and visualization. She is the President of the Interface Foundation of North America, and is a member of the Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, of the the National Academy of Science.

Tim Stough Granat received both is B.S. and M.S. degrees in Electrical and Computer Engineering from Purdue University in 1994 and 1997. His research interest is in computer vision.