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SSA Canberra Branch - Dennis Trewin prize

The Dennis Trewin Prize, named after the former Australian Statistician Dennis Trewin AO (picture below), is awarded annually by the Canberra Branch for outstanding research in statistics or data science by an early career statistician or data scientist in the ACT or regional NSW (excluding Sydney-Newcastle-Wollongong).

In the 2021 version of the prize, interested applicants (possibly after an initial shortlisting phase) were invited to submit a recorded 15-20 minute presentation on their research project. An external selection panel including Dennis himself then reviewed the presentations. The winner/s were then invited to present an extended version of their research talk as part of the (usually) October branch meeting, to the wider Canberra Branch. A monetary prize was also awarded to the winner, while all shortlisted candidates received a one year complimentary student/transition membership to the SSA. 

If you wish to know more about the prize, please contact ssacanberra 'at' for more information.

If you wish to participate in the prize, then please keep an eye out for notifications when the next round opens (if you are current SSA Canberra member), or contact ssacanberra 'at' to find out more!  

Previous Dennis Trewin prize winners         




Winner Affiliation


Rachael Quill

Statistical characterisation of wind fields over complex terrain for applications in bushfire modelling

University of New South Wales, Canberra


Jiali Wang

Analysis of Survey on Menstrual Disorder among Teenagers using Gaussian Copula Model with Graphical Lasso Prior

The Australian National University


Not awarded


Basim S.O. Alsaedi

Bayesian Modelling of Non-Linear Sensor Arrays

University of New England


Joint winners

Ali Shojaeipour

Xian Li

Investigate the advantages and existing barriers in biometric identification of Cattle

Subbagging Variable Selection

University of New England

The Australian National University

 2022Zhi Yang ThoJoint mean and correlation regression modelling for multivariate dataThe Australian National University

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