Jon Buckheit received his Ph.D. in statistics from Stanford University in June 1996. His adviser is David Donoho. Buckheit received a B.S. in mathematics and physics from the University of Michigan and an M.S. in statistics from Stanford. His interests include statistical applications of wavelets in discrimination, structure identification, deconvolution; ill-posed, or neo-classical, multivariate analysis, in which the number of dimensions is much greater than the number of replications; reproducible research and electronic documents; and statistical computing.
Jon wrote many of the 2-d packets
utilities and toons and made general improvements to most of the
functions in the software, both added functionality and bug fixing.
He also redesigned the build system which allows for an automatic
generation of the Reference Manual.
Scott Shaobing Chen
received his Ph.D. in statistics from
Stanford in 1995. His adviser was David Donoho. Shaobing's thesis
discussed the theory and applications of Basis Pursuit; his
Matlab software is available as a companion to WaveLab on the stat
ftp and www sites. He is currently working in the speech group at IBM
Watson Research Center in White Plains, NY. Shaobing contributed many
time/frequency analysis tools to WaveLab, including the Wigner
David Donoho is a Professor of Statistics at Stanford and also at UC Berkeley (on leave).
He is interested in scientific signal processing and in theoretical statistics. His web page is at http://www-stat.stanford.edu/~donoho.
He is responsible (guilty?) for the overall direction of the Wavelab project, and wrote many pieces of code scattered throughout the system. One of his main motivations in starting Wavelab was to learn how to get graduate students involved in computation-related research and to learn how to publish computation-related research.
He would like to thank NASA, NSF, and AFOSR
for support in this effort.
Xiaoming Huo is a Ph.D. student in Department of Statistics at Stanford. He is doing research advised by Professor David Donoho. He is interested in stochastic signal processing, image processing and optimization methodologies for large sample problems. He will join Georgia Institute of Technology, school of ISyE as an assistant professor.
He is also working on singular signal processing, edge detection, time-frequency or time-scale analysis, statistical modeling in communication theory, modulation classification, blind deconvolution and blind equalization.
Professor Iain Johnstone is Professor of Statistics and Biostatstics at
Stanford. He is interested in mathematical statistics, statistical
signal processing and applications in biostatistics. He has
contributed various pieces of code and (im)moral support to the
Wavelab effort. He also believes that the NIH and other agencies
should make it a condition of grant receipt that data used in refereed
publications be made available in agency supported public archives.
Ofer Levi-Tsabari is a Ph.D. student in the program of Scientific
Computing and Computational Mathematics at Stanford. His adviser is David
Donoho. He received degrees of B.Sc. in mathematics and industrial
engineering and M.Sc.
in industrial engineering, all from Ben-Gurion University, Israel. He is
currently interested in signal and image processing using wavelets.
Dr. Jeff Scargle has been with Space Science Division of NASA Ames Research Center since 1975. He received his B.A., Summa Cum Laude from Pomona College in 1963 and Ph.D. from California Institute of Technology in 1968. He had also held an assistant professionship at the University of California at Santa Cruz.
His research interests are high energy and planetary astrophysics,
with specialization on gamma-ray and X-ray astronomy, time series analysis,
and nonlinear dynamical systems and chaos. He is using wavelet and other
analysis methods on data from the "Unconventional Stellar Aspect" (USA)
Experiment (see: http://www.slac.stanford.edu/grp/ek/usa.html), and is a
collaborator on the Gamma-ray Large Area Space Telescope (GLAST)
P.-Y. Yu received his Ph.D. from the Scientific Computing
and Computational Mathematics Program of Stanford University in 1997.
His current research interests are subdivision scheme, wavelet and
multiresolution methods. He contributed to WaveLab 800 an implementation of
a nonlinear wavelet transform that he coninvented with David L. Donoho.
Using the powerful tools provided by WaveLab, Thomas also implemented an
algorithm of direction- and translation-invariant image denoising
and used them to help scientists in Max Planck Institute of
Biochemistry to clean up their very noisy 3-D electron microscopy data.