David Donoho

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David Leigh Donoho, born on March 5, 1957 in Los Angeles, is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences.[1] His work includes the development of effective methods for the construction of low-dimensional representations for high-dimensional data problems (multiscale geometric analysis), developments of wavelets for denoising and compressed sensing.

Academic biography[edit]

Donoho did his undergraduate studies at Princeton University, graduating in 1978.[2] His undergraduate thesis advisor was John W. Tukey.[3] Donoho obtained his Ph.D. from Harvard University in 1983, under the supervision of Peter Jost Huber.[4] He was on the faculty of the University of California, Berkeley from 1984 to 1990 before moving to Stanford.

He has been the Ph.D. advisor of at least 20 doctoral students, including Emmanuel Candès.[4]

Awards and honors[edit]

In 1991, Donoho was named a MacArthur Fellow.[5] He was elected a Fellow of the American Academy of Arts and Sciences in 1992.[6] He was the winner of the COPSS Presidents' Award in 1994. In 2001, he won the John von Neumann Prize of the Society for Industrial and Applied Mathematics.[7] In 2002, he was appointed to the Bass professorship.[2] He was elected a SIAM Fellow[8] and a foreign associate of the French Académie des sciences[9] in 2009, and in the same year received an honorary doctorate from the University of Chicago.[1] In 2010 he won the Norbert Wiener Prize in Applied Mathematics, given jointly by SIAM and the American Mathematical Society.[10] He is also a member of the United States National Academy of Science.[2][11] In 2012 he became a fellow of the American Mathematical Society.[12] In 2013 he was awarded the Shaw Prize for Mathematics.[13] Donoho has an Erdős number 2 according to the American Mathematical Society.[14]


External links[edit]