Professor David Siegmund

Stanford University

Biography:
David Siegmund is the John D. and Sigrid Banks Professor of Statistics at Stanford University, where he has served twice as chair of the Statistics Department. As a statistician working at the interface between probability and statistics, he focuses on statistical problems that arise in concrete scientific applications and require novel probability theory for their resolution. Until 1985 his research was primarily in sequential analysis, especially problems of the design and analysis of sequential clinical trials. A related interest was sequential change-point detection, motivated by problems of monitoring a continuous production process for changes that can be inferred only from noisy measurements on its output. This led to several years of research on a variety of change-point-like problems, which have found a wide variety of applications. Recently David Siegmund has concentrated on statistical aspects of genetic mapping, i.e., the identification of the location of genes giving rise to phenotypes such as diseases in humans or mammalian model organisms, desirable quantitative traits in agriculturally important plants and domestic livestock. He has also used techniques developed to study change-point problems to give approximate p-values for gapped pairwise local sequence alignments. He received a Guggenheim Fellowship in 1974 and the Humboldt Prize in 1980, and was elected to the American Academy of Arts and Sciences in 1994 and to the National Academy of Sciences in 2002.

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