I am a lecturer in the School of Mathematical Sciences at Adelaide University. My research involves designing computationally efficient (sometimes private) algorithms that learn from data with principled uncertainty quantification.

I develop and analyse algorithms for Bayesian inference, including sequential Monte Carlo and Markov chain Monte Carlo. I work with applied scientists to develop principled and robust analysis procedures for their data. This involves designing Bayesian models to incorporate domain and expert knowledge, and developing bespoke algorithms. I also design open source software for statisticians, scientists and industry.

Current projects

• Persuasive Privacy for MCMC algorithms
• Knots and variance ordering of sequential Monte Carlo algorithms arXiv slides
• Variance reduction for simulation–based inference

See my full list of arXiv preprints for more.

Selected articles

• Persuasive Privacy with J Bailie, J Rousseau, and CP Robert (2026). 43rd International Conference on Machine Learning (see project page).
• Bayesian score calibration for approximate models with D Warne, D Nott, and C Drovandi (2025). Journal of Machine Learning Research.
• Does Anyone Suffer From Teenage Motherhood? Mental Health Effects of Teen Motherhood in Great Britain Are Small and Homogeneous with M O’Flaherty and S Kalucza (2023). Demography.
• Accelerating sequential Monte Carlo with surrogate likelihoods with A Lee and C Drovandi (2021). Statistics and Computing.
• Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016 with T Ballard and B Baffour (2019). Journal of the Royal Statistical Society (Series A).

See Google Scholar for more.

Previous roles and events

In November 2025, I organised the Adelaide Data Privacy Workshop.

From 2023–2025 I was a postdoc with Prof Christian Robert at CEREMADE, Université Paris Dauphine–PSL. Here I organised the Mostly Monte Carlo Seminar Series.

Prior to Paris, I was postdoc and PhD student with Prof Chris Drovandi in the School of Mathematical Sciences, Queensland University of Technology (QUT), and part of the Centre for Data Science at QUT. During my PhD I was co-supervised by Prof Anthony Lee (University of Bristol).

In 2023, I was chair of the SMC Down Under organising committee.