Why does ACEMS Chief Investigator Louise Ryan love her job so much?
Louise was featured by her home university of UTS in a story about her work, the career advice she has for anyone considering statistics, and why she feels the need now to give so much back to statistics.
How should 'impact' be measured in the mathematical sciences? It's a question that has taken on added importance in the last year, with the Australian Research Council unveiling its 'Engagement and Impact Assessment.' ACEMS Director Peter Taylor looks into this question with an article he wrote in AMSI's "The Update" publication.
ABC 7:30 featured Australian mathematics pioneer Alison Harcourt. ACEMS Chief Investigator Kate Smith-Miles was interviewed for the story and talked about the impact Ms Harcourt has had, and what she's meant to women in mathematics.
We’re inviting every Australian to dive through their computer screens into the Reef by taking part in Virtual Reef Diver—the ABC’s online citizen science project for National Science Week and the International Year of the Reef.
QUT has signed a major new project agreement with the Australian Bureau of Statistics (ABS), as the organisations focus on the use of big data and powerful technology to keep Australia at the cutting-edge of statistical analysis. The project will be undertaken in association with the ARC Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS).
Until now, there has been a lot of literature in mathematics and physics on the Tracy-Widom distribution for a system with one type of particle, like a single gas or fluid.
But for the first ever, ACEMS Chief Investigator Jan de Gier and PhD Student Zeying Chen from The University of Melbourne, along with two colleagues from Tokyo, are now able to describe a mixed system where you have two families of particles. For example, a system that involves a gas or fluid mixture with two different types of molecules. Their solution was just published as a highlight in Physical Review Letters, one of the most prestigious journals in Physics.
A team of ACEMS researchers have recently proposed a novel method to speed up MCMC algorithms in big data problems. Their research has been accepted for publication in the Journal of the American Statistical Association.