Over 1,500 participants already registered and more than 600 pre-recorded talks uploaded!

A virtual one-week symposium on probability and mathematical statistics, the Bernoulli–IMS One World Symposium will be held August 24–28, 2020. Most meetings and conferences needed to be postponed this summer; this symposium is meant to bring together our research community and will give as many researchers as possible the opportunity to present their recent research results. The meeting will be virtual, with many new experimental features. Participation at the symposium is free, and you’ll need to register to get the passwords for the Zoom sessions.

The symposium will consist of plenary lectures from the four leading researchers profiled below, and from the winners of the Bernoulli Society New Researcher Awards (Nina Holden, Xin Sun and Li-Cheng Tsai); the IMS Lawrence D. Brown PhD Student Awards (Yuqi Gu, Didong Li and Ashwin Pananjady); and the Tweedie New Researcher Award (Adel Javanmard).

Around these live talks, there will be over 600 prerecorded 10-minute talks with discussion sessions, 120 posters, experimental interactive events, and problem sessions. Topics from probability and mathematical statistics are arranged in 23 sessions (with 23 Zoom rooms) to which all researchers are warmly invited to contribute and discuss their original research results.



Plenary speaker profiles

Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, and professor of Electrical Engineering (by courtesy) at Stanford University, where he is a co-director of the Data Science Institute. His current research addresses the reproducibility of scientific results and the validity of machine learning predictions. Candès graduated from the Ecole Polytechnique in 1993 with a degree in science and engineering, and received his PhD in Statistics from Stanford in 1998. He has received several awards including the 2006 NSF Alan T. Waterman Award and, most recently, the 2020 Princess of Asturias Award for Technical and Scientific Research. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences. In 2017, he received a MacArthur Fellowship.

Sir Martin Hairer KBE FRS is Professor of Mathematics at Imperial College London, where he is Chair in Probability and Stochastic Analysis. He previously held appointments at the University of Warwick, UK, and the Courant Institute of New York University. In 2014 he was awarded the Fields Medal; he has also given an IMS Medallion lecture, Bernoulli lecture, and Kai-Lai Chung lecture, among many others. Martin’s research interests are stochastic PDEs, stochastic analysis, functional analysis, and homogenization theory. He was elected a Fellow of the UK’s Royal Society: according to their website, he is “one of the world’s foremost leaders in the field of stochastic partial differential equations in particular, and in stochastic analysis and stochastic dynamics in general.” He was knighted last year.

Kerrie Mengersen is a Distinguished Professor of Statistics at Queensland University of Technology, where she is the Director of the QUT Centre for Data Science and Deputy Director of the Australian Research Council Centre of Excellence in Mathematical and Statistical Frontiers. She earned BA and PhD degrees in Mathematics, majoring in Statistics and Computing, from the University of New England (in Australia), and has since worked in a commercial statistical consulting company and a number of Universities. Her research cuts across a broad spectrum of statistical practice, with a primary focus on Bayesian statistical modelling and computation, and applications in health, environmental science and industry. Her work is highly collaborative and most often led by her fantastic PhD students, postdoctoral students and research associates. Kerrie has served as the President of the Statistical Society of Australia and of ISBA; she is a Fellow of IMS, ISBA, the Australian Academy of Sciences and the Academy of Social Sciences in Australia, and in 2016, she was the first woman to be awarded the Statistical Society of Australia’s Pitman Medal, which recognizes outstanding achievement in the statistics discipline.

Wendelin Werner is a German-born French mathematician working on random processes such as self-avoiding random walks, Brownian motion, Schramm–Loewner evolution, and related theories in probability theory and mathematical physics. In 2006, at the 25th International Congress of Mathematicians in Madrid, Spain, he received the Fields Medal, “for his contributions to the development of stochastic Loewner evolution, the geometry of two-dimensional Brownian motion, and conformal field theory.” Wendelin is professor in the Department of Mathematics at ETH Zürich, since 2013; previously he worked at the University of Paris-Sud in Orsay, CNRS Paris, and University of Cambridge. He received his PhD at the University of Paris VI in 1993 under the supervision of Jean-François Le Gall. Among Wendelin’s distinctions are the Rollo Davidson Prize (1998), the European Mathematical Society Prize (2000), the Fermat Prize (2001), the Jacques Herbrand Prize (2003), the Loève Prize (2005) and the Pólya Prize (2006). He is a member (or foreign member) of the Academies of Sciences in France, Germany and Brazil, and the UK’s Royal Society, as well as an honorary fellow of Gonville and Caius College (Cambridge).