1 | Name: | Dr. David L. Donoho | |

Institution: | Stanford University | ||

Year Elected: | 2019 | ||

Class: | 1. Mathematical and Physical Sciences | ||

Subdivision: | 104. Mathematics | ||

Residency: | Resident | ||

Living? : | Living | ||

Birth Date: | 1957 | ||

David L. Donoho is currently Professor of Statistics and Anne T. and Robert M. Bass Professor in the Humanities and Sciences at Stanford University. He earned his Ph.D. from Harvard University in 1984. Prior to moving to Stanford, he worked for a decade at the University of California, Berkeley. Dramatic developments in technology present fundamental new challenges in theoretical and applied mathematical statistics. David Donoho has played a major role in building powerful new mathematical and statistical tools to deal with these problems, ranging from how best to extract information from large data-sets in high dimensions to how to deal with contamination by noise. His work provides fast, efficient, and often optimal algorithms that are founded on rigorous mathematical analysis. He introduced many now standard techniques that overcome difficulties caused by noise with very little loss of efficiency or reliability. Along the way, he demonstrated the power of the mathematical theory of wavelets in dealing with such problems in statistics. He also developed efficient techniques for sparse representation and recovery in large data-sets. Among his awards are a MacArthur Fellowship in 1991, the John von Neumann Prize of the Society for Industrial and Applied Mathematics (SIAM) in 2001, the Weiner Prize of AMS-SIAM in 2011, and the Shaw Prize in 2013. He is a member of the National Academy of Sciences (1998), French Academy of Sciences (2009), and the American Academy of Arts & Sciences (2012). David Donoho was elected a member of the American Philosophical Society in 2019. |