Carnegie professorship

Professor Elizabeth Thompson
Professor of Statistics, Biostatistics and of Genome Sciences, University of Washington
Carnegie Centenary Professor 2017, University of St Andrews

To mark the centenary of its foundation in 1901, The Carnegie Trust created a Centenary Fund and established a scheme of Visiting Professorships, intended to benefit not only the host universities but also the Scottish university community as a whole.  The Trust normally makes two such awards each year, with the visit period normally being from 3 to 6 months. Prof Thompson has been awarded one of the 2017 Carnegie Centenary Professorships to collaborate with colleagues at the University of St Andrews, as well as with a network of scientists from Edinburgh and Glasgow.

Elizabeth Thompson is Professor of Statistics, Biostatistics and of Genome Sciences at the University of Washington. She received her B.A. in mathematics and Ph.D. in mathematical statistics from Cambridge University, UK and then did postdoctoral work in the Department of Genetics, Stanford University, before taking up a faculty position at the University of Cambridge in 1976.

Professor Thompson joined the Statistics Department, University of Washington in December 1985, and served as Chair 1989-1994, and again 2011-2014. Dr. Thompson’s research is in the development of methods for model-based likelihood inference from genetic data, particularly from data observed on large and complex pedigree structures both of humans and of other species, and including inference of relationships among individuals and among populations. Dr. Thompson is a recipient of a D.Sc. degree from the University of Cambridge, the Jerome Sacks award for cross-disciplinary research from the National Institute for Statistical Science, the Weldon Prize for contributions to Biometric Science from Oxford University, and of a Guggenheim fellowship. She is currently President-elect of the International Biometric Society, an honorary fellow of Newnham College, Cambridge, an elected member of the International Statistical Institute, the American Academy of Arts and Sciences, and the US National Academy of Sciences.