David Donoho

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David Leigh Donoho (born March 5, 1957 in Los Angeles ) is an American statistician.

Donoho studied statistics at Princeton University (bachelor's degree summa cum laude with John W. Tukey ) and received his PhD in 1983 with Peter Huber at Harvard University (A tool for research in data analysis), while at the same time working for Western Geophysical in geophysical signal processing worked. He was a postdoctoral fellow at MSRI and then became a professor at the University of California, Berkeley (where he was since 1984, from 1985 to 1990 as a National Science Foundation Young Investigator). He has been a professor at Stanford University since 1990 . He was a visiting professor at the University of Paris , theTel Aviv University (Sackler Professor), University of Singapore , the University of Leiden (Kloosterman Professor) and the University of Cambridge (Rothschild Lecturer).

S. Chen, he developed in 1994 based Pursuit method for analyzing frequency spectra , a variant of the frequency analysis using the method of least squares (LSSA, least squares spectral analysis). In 1982, at the same time as Stahel, he introduced outlyingness as a measure of outliers .

In the 1990s and 2000s he developed wavelet- like methods in image processing (curvelets, wedgelets).

Around 2004, independently of Terence Tao and Emmanuel Candès , he developed the mathematical foundations of the compressed sensing method of signal processing that revolutionized the field.

In 1991 he was a MacArthur Fellow . In 1994 he was invited speaker at the International Congress of Mathematicians in Zurich (Abstract statistical estimation and modern harmonic analysis). In 2001 he was a Neumann Lecturer (What lies behind Wavelets?) At SIAM , of which he has been a fellow since 2009. In 2002 he gave a plenary lecture at the ICM in Beijing ( Emerging Applications of Geometric Multiscale Analysis ). In 2010 he received the Norbert Wiener Prize . In 2013 he was awarded the Shaw Prize for Mathematics, in 2016 the Wilks Memorial Award , and in 2018 the Carl Friedrich Gauß Prize .

He is a member of the American Academy of Arts and Sciences , the National Academy of Sciences and, since 2019, the American Philosophical Society . He is also an honorary doctor from the University of Chicago . He is a fellow of the American Mathematical Society . In 2010/11 and 2011/12 he was on the Abel Prize Committee.

He is a co-founder of D2 Software (which produce MacSpin software for high-dimensional data visualization) and BigFix (which produce remote network management software). He also served in the research department of the Renaissance Technologies hedge fund .

Emmanuel Candès is one of his doctoral students .

Web links

Individual evidence

  1. Donoho, Emmanuel Candès Curvelets - a surprisingly effective nonadaptive representation for objects with edges In: A. Cohen, C. Rabut, L. Schumaker (editors): Curves and Surface Fitting: Saint-Malo 1999 , Vanderbilt University Press, Nashville, 2000 , Pp. 105–120, Candés What is a curvelet? , Notices AMS 2003, PDF file
  2. Donoho: Wedgelets: nearly minimax estimation of edges, Annals Statistics, Vol 27, 1999, pp 859-897.
  3. Donoho, Compressed Sensing, IEEE Transactions on Information Theory, Volume 52, 2006, pp. 1289-1306