Keynote speaker

Associate Professor David Nott, National University of Singapore 

A/Prof Nott is an internationally recognised leader in Bayesian statistics and computational methodology. His research expertise includes variational inference in high-dimensional models, model misspecification and robust Bayesian inference, and development of state-of-the-art modular inference methods for handling complex models. He has an extensive publication record in top-tier journals including the Journal of the American Statistical Association, Biometrika, and the Journal of Econometrics and Bayesian Analysis. His work has had substantial impact across statistics, econometrics, and machine learning, and he is widely regarded as a leading contributor to modern Bayesian computation.

 Speakers

Dr Gregor Zens, Research Scholar, International Institute for Applied Systems Analysis (Austria)  

Dr Zens’ research expertise centres on Bayesian econometrics and computational statistics applied to social and economic problems. His work focuses on developing scalable Bayesian methods — such as variational inference, model averaging, and advanced MCMC techniques — for high-dimensional and structured data, with applications in areas like human migration, demography, and global development. His publication record in leading journals, such as the Journal of the American Statistical Association, Bayesian Analysis, and the Journal of Royal Statistical Society, and ongoing work on scalable Bayesian inference and latent variable models, position him as an emerging researcher at the intersection of Bayesian methodology and applied social science.

Workshop Speakers

• Prof Rodney Strachan, University of Queensland
• Prof Dino Sejdinovic, Adelaide University
• Prof Minh Ngoc Tran, University of Sydney
• A/Prof Clara Grazian, University of Sydney
• Dr Matias Quiroz, University of Technology Sydney
• Dr David Gunawan, University of Wollongong
• Dr Leah South, Queensland University of Technology
• Dr Takuo Matsubara, University of Sydney