Jul 15, 2011

Royal Society elects Steffen Lauritzen and Simon Tavaré

The UK’s Royal Society is a fellowship of the world’s most eminent scientists and is the oldest scientific academy in continuous existence. Fellows are elected for life through a peer review process on the basis of excellence in science. Each year 44 new Fellows are elected by existing Fellows. Among those elected this year are two IMS Fellows.
Professor Steffen Lauritzen is a professor of statistics in the Department of Statistics at the University of Oxford, and a Fellow of Jesus College, Oxford. Steffen is distinguished for his many contributions to the theory and practice of statistical science. Most notably, he pioneered the field of graphical models, which provide simple and powerful tools for encapsulating conditional independence structures. The area is now a central part of mainstream statistics, and has revolutionized many applications. Lauritzen’s contributions range from deep insights into the mathematical structure of this class of models, through innovative and efficient algorithms for their analysis, to applications in artificial intelligence, forensic science and medical diagnosis. Other important work has characterized the analytic structure of statistical models from a differential geometric perspective, via sufficiency.

Professor Simon Tavaré is a professor in the Department of Applied Mathematics and Theoretical Physics and Professor of Cancer Research, Department of Oncology, University of Cambridge, as well as Senior Group Leader in the Cancer Research UK Cambridge Research Institute. Simon is an internationally recognised figure in the interface between statistics, probability and biological and medical sciences. He has made important contributions to the study of combinatorial stochastic processes, population genetics and statistical bioinformatics. His work in the analysis and interpretation of DNA sequence and related genomic data includes statistical aspects of coalescent theory, including the first full likelihood-based methods for the analysis of sequence variation data, methods for ancestral inference, and for likelihood-free inference and approximate Bayesian computation for complex stochastic processes. He has pioneered the development of evolutionary genomic approaches for understanding cancer.

Share

Leave a comment

*

Share

Welcome!

Welcome to the IMS Bulletin website! We are developing the way we communicate news and information more effectively with members. The print Bulletin is still with us (free with IMS membership), and still available as a PDF to download, but in addition, we are placing some of the news, columns and articles on this blog site, which will allow you the opportunity to interact more. We are always keen to hear from IMS members, and encourage you to write articles and reports that other IMS members would find interesting. Contact the IMS Bulletin at bulletin@imstat.org

What is “Open Forum”?

In the Open Forum, any IMS member can propose a topic for discussion. Email your subject and an opening paragraph (to bulletin@imstat.org) and we'll post it to start off the discussion. Other readers can join in the debate by commenting on the post. Search other Open Forum posts by using the Open Forum category link below. Start a discussion today!

About IMS

The Institute of Mathematical Statistics is an international scholarly society devoted to the development and dissemination of the theory and applications of statistics and probability. We have about 4,500 members around the world. Visit IMS at http://imstat.org
Latest Issue