2025--present Mr Luca Lubrano Lavadera: Bayesian analysis of fractional diffusion models.
Commencing 2026 Mr Thomas Steele: Optimising approximation selection in multifidelity methods. (Joint supervision with Dingcheng Luo)
Commencing 2026 Mr Zihao Wang: Scalable Simulation-based Inference. (Joint supervision with Leah South)
2025--present Mr Upayan Roy: Effect of information availability and learning biases on cooperation in social dilemmas. (Joint supervision with Maria Kleshnina)
2024--present Mr Owen Stewart: Using machine learning methods to guide conservation of coral reefs . (Joint supervision with Mike Bode)
2024--present Mr Sishou Zhou: Physics informed neural networks and their application to diffusion-weighted magnetic resonance imaging. (Joint supervision with Qianqian Yang and Timothy Moroney)
2024--present Ms Amanda Salpadoru: Parameter estimation and identifiability analysis for bistable ecosystems. (Joint supervision with Matthew Adams and Kate Helmstedt)
2024--present Mrs Anuradha Dhananjanie: Explainability of machine learning methods for applications in ecology. (Joint supervision with Helen Thompson and Julie Vercelloni)
2024--present Ms Selva Salimi: Likelihood-free inference methods for constructing informative prior distributions. (Joint supervision with Chris Drovandi)
2024--present Mr Yihan Liu: Identifiability Analysis for Complex Statistical Models in Biology and Ecology. (Joint supervision with Chris Drovandi, Matthew Adams, and Matthew Simpson)
2023--present Mr Adam Bretherton: Correcting Bayesian inference from approximate models and algorithms (Joint supervision with Chris Drovandi, Joshua Bon and Kerrie Mengersen)
2023--present Ms Navodya Abirami: Robust methods to design Bayesian adaptive clinical trials. (Joint supervision with James McGree)
2022--present Mr Ryan Kelly: Robust and scalable likelihood-free inference. (Joint supervision with Chris Drovandi)
2024--present Mr Obi Carwood: Mathematical modelling of drug release from functionally-graded delivery systems . (Joint supervision with Elliot Carr)
2025-present Mr Luca Lubrano Lavadera: Heterogeneous computing to accelerate stochastic biochemical network simulation and inference.
2021--2024 Dr Jesse Sharp: Extending coral recovery models to multiple habitats. (Joint supervision with James McGree and Juan-Carlos Ortiz). After this project, Jesse took up another postdoctoral position with James McGree.
2025 Ms Jenney Chen: Multifidelity simulation based inference. After this project, Jenney is planning to commence a PhD.
2024 Mr Xiaoyu Wang: Benchmarking simulation-based inference methods under model misspecification. (Joint supervision with Chris Drovandi). After this project, Xiaoyu took up a postdoctoral position with Loic Yengo at the University of Queensland.
2023--2024 Mr Thanh Long (Oliver) Vu: Bayesian analysis of fractional diffusion models. After this projects, Oliver commenced Honours studies with me at QUT.
2023--2024 Ms Bhavya (Jiya) Thakran: Rethinking fisheries management (Joint supervision with Leah South and Matthew Holden). After this project, Jiya is continuing her Bachelors degree in Data Science at QUT.
2023--2024 Mr Thomas Steele: project 1) Computational tools for analysis of flow cytometry data (Joint supervision with Alex Browning). project 2) Postprocessing approximate Bayesian computation using multilevel Monte Carlo. After these projects, Thomas commenced Honours studies with me at QUT.
2023 Ms Xiangrun (Sally) Zhu: Uncertainty quantification of cell internalisation processes. After this project, Sally is continuing her Masters of Data Analytics at QUT.
2022--2023 Ms Thanh Duong: Optimal monitoring for coral recovery forecasting. After this project, Thanh started a Masters research project with me.
2021--2022 Mr Abhishek Varghese: Accelerated AI for analysis of COVID-19 vaccine hesitancy (Joint supervision with Adrianne Jenner). After this project, Abhishek took up a Consultant position at EY.
2021--2022 Ms Amy Stinger: Supporting model development and code integration for the ReefCloud project (Joint supervision with Julie Vercelloni). After this project, Amy took up another Research Assistant opportunity at QIMR Berghofer Medical Research Institute.
2021 Ms Sarah Vollert: Model sloppiness for model selection in ecology (Joint supervision with Rob Salomone and Jacinta Holloway-Brown). After this project, Sarah commenced a PhD with Matthew Adams and Chris Drovandi.
2020--2021 Ms Grace Heron: Model implementation for coral recovery modelling (Joint supervision with Juan-Carlos Ortiz). After this project, Grace commenced a PhD with Kate Helmstedt and Kerrie Mengersen.
2021--2025 Dr Xiaoyu Wang: Simulation-based inference for complex statistical models. (Joint supervision with Chris Drovandi and Adrianne Jenner). After completion, Xiaoyu took up a postdoctoral position with Loic Yengo at the University of Queensland.
2021--2025 Dr Amarasinghe (Samitha) Amarasinghe: Performance optimization for manufactured construction projects. (Joint supervision with Les Dawes and Duzgun Agdas).
2023--2024 Ms Nina Rynne: Optimal control for mitigation and removal of CO2 emissions. After successful completion of her Confirmation, Nina transitioned her PhD to Griffith University following a move by principle supervisor, Ryan Heneghan.
2024--2025 Mr Oliver Vu: Contributions to multifidelity simulation-based inference. Graduated with Honours 1st Class. After completing his Honours degree, Oliver is working as a Graduate Data Analyst at Quantium.
2024 Mr Thomas Steele: Efficient simulation and inference algorithms for non-Markovian stochastic processes. Graduated with Honours 1st Class. After completing his Honours degree, Thomas took up a research assistant opportunity with me before joining Fidelis AI Ltd in the United Kingdom.
2025 Mr Sean Francis: Code optimisation for acceleration of Bayesian computation.
2025 Lauren Deegan: Bayesian hierarchical Modeling in Ecology. (Joint supervision with Matthew Adams)
2024--2025 Mr Luca Lubrano Lavadera: Exploring Markovian projection to accelerate pseudo-marginal parameter inference of stochastic biochemical systems. After this summer project, Luca is continuing his Bachelors double degree in Mathematics and Engineering at QUT. He has also taken up an opportunity as a research assistant with Maria Kleshnina.
2024 Ms Tess Mathews: Using fractional PDE models to estimate brain micro structure (Joint supervision with Qianqian Yang). After this mid-year vacation project, Tess is continuing her Bachelors double degree in Mathematics and Engineering at QUT.
2024 Mr Aidan Brewster: Estimating rates of vaccine hesitancy using stochastic modelling. After this mid-year vacation project, Aidan is continuing his Bachelors degree in Mathematics at QUT.
2023--2024 Mr Jack Fewtrell: Efficient Parameter Estimation for Stochastic Simulations (Joint supervision with Matthew Simpson). After this summer project, Jack is continuing his Bachelors degree in Mathematics at QUT.
2023--2024 Mr Jacob Gentner: Making predictions using simulation-based stochastic mathematical models (Joint supervision with Matthew Simpson). After this summer project, Jacob is completing his Honours year in Engineering at QUT.
2023 Mr Thanh Long (Oliver) Vu: Multifidelity approximate Bayesian computation with neural network corrections. After this mid-year vacation project, Oliver took up a Research assistant opportunity with me.
2022--2023 Mr Thomas Steele: Scalable Bayesian inference using multilevel Monte Carlo (Joint supervision with Leah South and Chris Drovandi). After this summer project, Thomas is continuing his Bachelors degree in Physics at QUT.
2023--2024 Ms Xiangrun (Sally) Zhu: Exploring the effects of process noise within endocytosis processes. (Joint supervision with Alex Browning). After this project, Sally is continuing her Masters of Data Analytics at QUT.
2023 Ms Thanh Duong: Optimising sampling design for model discrimination of coral reef recovery. After this project, Thanh is continuing her Masters of Data Analytics at QUT.