Susanna Cramb has just been named a “Superstar of STEM” by Science & Technology Australia.

Congratulations BRAG Member Dr Susanna Cramb: Just been named a Superstar of STEM by Science & Technology Australia (STA). Susanna is only one of 60 scientists chosen from around Australia to be a part of STA’s second cohort of Superstars of STEM. The program aims to smash society’s gender assumptions about scientists and increase the…

Congratulations to Aswi: Best Student presentation: AASC2018

BRAG PhD Student Aswi was awarded the Best Student Presentation for her talk at the Australasian Applied Statistics Conference 2018 held in Rotorua, New Zealand on 3-7 December 2018. Awsi’s abstract for her talk: The impact of covariates on the grouping structure of a Bayesian spatio-temporal localised model is below Aswi was awarded a certificate and a…

PhD Final Seminar – Matthew Sutton

Variable Selection and Dimension Reduction for Structured Large Datasets Candidate: Matthew Sutton When: Monday, 10th December 2018 11:00 AM-12:00 PM Where: GP-D Block, Level 3, Room 307 Review Panel: Associate Professor James McGree Professor Benoit Liquet Associate Professor Dale Nyholt Abstract: Recent advances in biomedical technology have given rise to high dimensional datasets which offer the potential…

Brag Meeting 6th December 2018

When: Thursday 6th December 2018, 13:00-14:00. Location: GP-Y801. Included in meeting:  The final BRAG meeting for 2018 will be held tomorrow 6th December 2018 at 1pm in room Y801. This week we will have presentations by Miles and Pubudu. Miles’ Talk: Title: Bridging Scientific Computing and Virtual Reality with R Abstract:  Virtual and Augmented Reality presents…

PhD Final Seminar – Brigitte Colin

Prediction of noisy spatial data using Boosted Regression Trees Student: Brigitte Colin When: Tuesday, 4th December 2018 4:00 PM-5:00 PM Where: GP-B Block, Level 5, Room 505 Abstract: Spatio-temporal time series analyses are important to get more in-depth knowledge in processes from the past. We can learn from observing the past for the future. An estimation of…