2026 ↓

Bayes On The Beach 10Feb26

2025 ↓

Picture of 2 students and a bunch of people talking and eating with the Workshop coffee break for Data Science and Statistics Lecture 2025

Workshop introduction - Noel Cressie , for the Computational Statistics in Data Science Workshop 2025

GCCW 2025 - Estimating Antarctic subglacial conditions with deep learning - Bao Anh Vu

Andrew Zammit-Mangion Neural SBI for Spatial and Spatio-Temporal Statistical Models - STAMPS 2025

Noel Cressie gives the Australian Academy of Science 2025 Hannan Medal Lecture

Noel Cressie awarded the Hannan Medal by Australian Academy of Science

Mapping and Monitoring Carbon Dioxide from Space - Webinar by Distinguished Professor Noel Cressie

2024 ↓

Professor Wikle and Professor Cressie with two professors from SEALS: Nicolas Flament, and Dominique Tanner

Professor Christopher Wikle is giving a presentation in the annual Data Statistics and Science Lecture in 2024 with the title:

Andrew Zammit-Mangion gives the J.S. Hunter Lecture

Bao Anh Vu and Josh Jacobson tied for the TIES Best Student Presentation Award

Xiaotian Zheng (with co-authors) wins the Wiley-TIES Best Paper Award in Environmetrics (2023)

Fast statistical inference with neural networks and amortisation - Golden ticket or red herring? presented by Andrew Zammit-Mangion

2023 ↓

Matthew Sainsbury-Dale wins the 2023 J.B. Douglas Postgraduate Award

GCCW 2023 - Antarctic biodiversity modelling with uncertainty quantification - Xiaotian Zheng

2023 ↓

WOMBAT team wins hat-trick of international awards

Matthew Sainsbury-Dale and Andrew Zammit-Mangion receive the Venables Award by SSA and ARDC

Deep Neural Bayes Estimators for Spatial Models presentation

Siteworks Capsule Talks given by Distinguished Professor Noel Cressie

2022 ↓

Three Foundational Disciplines

Michael I. Jordan profile photo

A shifting carbon cycle Hunting for changes in ecosystems' emission and absorption of CO2 presented by Michael Bertolacci

Bayesian inference on carbon dioxide surface fluxes using satellite data presented by Associate Professor Andrew Zammit-Mangion

2021 ↓

Scott L. Zeger, John C. Malone Professor of Biostatistics and Medicine, gives 2021 Statistical Science Lecture

2021 Statistical Science Lecture organisers: Karin Karr, Noel Cressie, Yi Cao (from left to right)

Bayesian Inference and Uncertainty Quantification for Inverse Problems  presented by Matt Moores

SUPE-ANOVA Intercomparison of global geophysical models presented by Distinguished Professor Noel Cressie

WOMBAT: A fully Bayesian global flux-inversion framework

2020 ↓

Associate Professor Andrew Zammit-Mangion talked about Statistical Deep IDE Models for Spatio-Temporal Forecasting

  

2019 ↓

                  

2019 ↓

           

 

2018 ↓

        

 

2017 ↓

   

2016 ↓

     

2014 ↓

   

2026

Bayes on the Beach 2026 at University of Wollongong, organised by the Bayesian Research & Applications Group (BRAG) in collaboration with the University of Wollongong and QUT Centre for Data Science (CDS); the Australasian chapter of the International Society for Bayesian Analysis (ISBA); the Statistical Society of Australia, (SSA) Bayesian Statistics Section; and Queensland University of Technology (QUT).

2025

Computational Statistics in Data Science Workshop, organised by the Centre for Environmental Informatics (CEI), NIASRA.
The Workshop consists of a series of talks by CEI, NIASRA researchers and Keynote Speaker, Howard Bondell.

2025 Data Science and Statistics Lecture, "Data and decision-making: Informative missingness, recommender systems, and personalised medicine" - Howard Bondell (Professor of Statistical Data Science and Head of the School of Mathematics and Statistics, University of Melbourne)

2024

2024 Data Science and Statistics Lecture, "The Ship Has Sailed: Where Should we Steer It? (Climate Adaptation needs Uncertainty Quantification)" - Christopher K. Wikle (Distinguished Professor and Chair of the Department of Statistics at the University of Missouri (MU), with additional appointments in Soil, Environmental and Atmospheric Sciences and the Truman School of Public Affairs)

2023

2023 Data Science and Statistics Lecture, "Data science for public health: Risk mapping of Out of Hospital Cardiac Arrest and the optimal deployment of defibrillators" - Antonietta Mira (Professor of Statistics and Director of the Data Science Lab at Università della Svizzera Italiana, Lugano, Switzerland and Professor of Statistics at Insubria University, Como, Italy)

2022

2022 Statistical Science Lecturer, "On Learning-Aware Mechanism Design" - Michael I. Jordan (Pehong Chen Distinguished Professor in Dept of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley, USA)

2021

2021 Statistical Science Lecturer, "Saving Medical Dollars, Trillions at a Time: A Statistical Perspective" - Scott L. Zeger (John C. Malone Professor of Biostatistics and Medicine, The Johns Hopkins University Bloomberg School of Public Health and School of Medicine, Baltimore, USA)

2020

2020 Statistical Science Lecture, "Zen and the Art of Bayesian Geology/Hydrology/Ecology" - Professor Sally Cripps (University of Sydney, Australia)

2019

Short course: Spatio-Temporal Statistics with R, presented by Noel Cressie and Andrew Zammit-Mangion (UOW Sydney Campus, NSW)

2019 Statistical Science Lecture, "A Tale of Two Parasites: statistical science to support disease control programmes in Africa" – Distinguished Professor Peter Diggle (Lancaster University and Health Data Research, UK)

Invited Session: Monte Carlo Methods in Environmental Applications, featuring presentations from CEI members Noel Cressie, Michael Bertolacci, and Laura Cartwright (MCM2019, UTS Business School, NSW)

2018

Short course: Spatio-Temporal Statistics with R, presented by Andrew Zammit-Mangion (ACEMS, Queensland University of Technology, Brisbane, QLD)

2018 Statistical Science Lecture, "Surfing Gravitational Waves: Black holes and Bayesian nonparametrics" – Renate Meyer (University of Auckland, New Zealand)

2017

Short course: Spatio-Temporal Modelling with R, presented by Andrew Zammit-Mangion (AIMS, Townsville, QLD)

2015

Short course: Spatio-Temporal Statistical Modelling, presented by Noel Cressie and Andrew Zammit-Mangion (UOW Sydney Campus, NSW)

2014

Short course: Spatio-Temporal Statistical Modelling, presented by Peter J. Diggle (Lancaster University, UK) and Noel A. Cressie (NIASRA, UOW)

Bao Anh Vu - Research Fellow, 2025

Pratik Nag - Research Fellow, 2024 – 2026

Laurence Davies - Research Fellow, 2024 – 2026

Xiaotian Zheng - Research Fellow, 2022 – 2025

Michael Bertolacci - Senior Research Fellow, 2022 – 2024

Michael Bertolacci - Research Fellow, 2019 – 2022 

Bohai Zhang – Research Fellow, 2015 – 2018 

Andrew Zammit-Mangion – Statistical Computing Scientist (Senior Research Fellow), 2014 – 2016

Alexandra (Sandy) Burden – Research Fellow, 2014 – 2017

Howard Bondell - Australia, 2025

Christopher K. Wikle - USA, 2024

Antonietta Mira - Switzerland, 2023

Rune Christiansen – Denmark, 2019

Daniel Simpson – Canada, 2019

Lassi Roininen and Marko Laine – Finland, 2019

Ann Stavert – Melbourne, 2018, 2019

Linda Tan – Singapore, 2018

Christopher Wikle – USA, 2017, 2018

David Nott – Singapore, 2017

Alfred Stein – Netherlands, 2017

Hsin-Cheng Huang – Taiwan, 2016, 2018

Enki Yoo – USA, 2016

Cecile Hardouin – France, 2016