Joshua Bon

Research Interests

Computational statistics Data and information privacy Applied Statistics Statistics & Probability Statistics

Dr Joshua Bon

Lecturer

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Dr Joshua Bon is a lecturer in the School of Mathematical Sciences at Adelaide University. Previously, Joshua was a researcher at Université Paris-Dauphine in France and a postdoctoral fellow at the Queensland University of Technology, where he also completed his PhD. He has degrees in statistics, mathematics, computer science and commerce, and applies statistics to a wide range of fields including psychology, sports science, ecology, and public health. Dr Bon primarily works in computational Bayesian statistics and statistical data privacy. He designs open source software for statisticians, scientists and industry.

My research involves designing computationally efficient (and private) algorithms that learn from data with principled uncertainty quantification. 

This involves mathematical analysis of statistical algorithms and models under various scenarios. In particular, my research studies

  • sequential Monte Carlo
  • private statistical inference
  • federated learning
  • simulation-based inference
  • Bayesian modelling

Date Position Institution name
2025 - ongoing Lecturer Adelaide University
2023 - 2025 Postdoctorant Paris Dauphine University
2021 - 2023 Research Fellow in Sequential Monte Carlo Methods Queensland University of Technology

Year Citation
2026 Nimphius, S., Heussen, N., Steele, J., Weston, M., Shrier, I., Binney, Z. O., . . . Borg, D. N. (2026). Introducing a new “Preliminary Report” submission category for small-sample intervention studies: viewpoints from external experts. Science and Medicine in Football, 7 pages.
DOI
2025 Lockhart, D. A., Bon, J. J., Charley, C. L., Kearney, S. G., Schoenefuss, P., Gray, E. L., & Baker, A. M. (2025). The Hidden Diet: Determining the Distribution of the Threatened Julia Creek Dunnart (<i>Sminthopsis douglasi</i>) Using Eastern Barn Owl (<i>Tyto javanica delicatula</i>) Pellets. ECOLOGY AND EVOLUTION, 15(7), 18 pages.
DOI
2024 Robert, C. P., & Bon, J. (2024). Christian P. Robert and Joshua Bon's contribution to the Discussion of 'Safe testing' by Grünwald, de Heide, and Koolen. Journal of the Royal Statistical Society Series B Statistical Methodology, 86(5), 1156-1157.
DOI
2024 Bon, J., & Robert, C. P. (2024). Joshua Bon and Christian P. Robert's contribution to the Discussion of 'Safe testing' by Grünwald, de Heide, and Koolen. Journal of the Royal Statistical Society Series B Statistical Methodology, 86(5), 1143-1145.
DOI
2024 Schoenefuss, P., Kutt, A. S., Kern, P. L., Moffatt, K. A., Bon, J., Wardle, G. M., . . . Baker, A. M. (2024). An investigation into the utility of eastern barn owl pellet content as a tool to monitor small mammal diversity in an arid ecosystem. Austral Ecology, 49(3), 20 pages.
DOI Scopus7 WoS7
2024 Borg, D. N., Impellizzeri, F. M., Borg, S. J., Hutchins, K. P., Stewart, I. B., Jones, T., . . . Barnett, A. G. (2024). Meta-analysis prediction intervals are under reported in sport and exercise medicine. Scandinavian Journal of Medicine and Science in Sports, 34(3), e14603.
DOI Scopus42 WoS40 Europe PMC37
2023 O’Flaherty, M., Kalucza, S., & Bon, J. (2023). Does Anyone Suffer From Teenage Motherhood? Mental Health Effects of Teen Motherhood in Great Britain Are Small and Homogeneous. Demography, 60(3), 707-729.
DOI Scopus2 WoS3 Europe PMC1
2023 Bon, J. J., Bretherton, A., Buchhorn, K., Cramb, S., Drovandi, C., Hassan, C., . . . Wang, X. (2023). Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2247), 20220156-1-20220156-29.
DOI Scopus11 WoS5 Europe PMC6
2022 Borg, D. N., Fleming, J., Bon, J. J., Foster, M. M., Kendall, E., & Geraghty, T. (2022). The influence of personal factors, unmet need and service obstacles on the relationship between health service use and outcome after brain injury. BMC Health Services Research, 22(1), 445.
DOI Scopus3 WoS3 Europe PMC3
2022 Borg, D. N., Bon, J. J., Foster, M. M., Lakhani, A., Kendall, M., & Geraghty, T. (2022). Healthcare services for people with acquired disability in South-East Queensland, Australia: Assessing potential proximity and its association with service obstacles. Ssm Population Health, 19, 101209.
DOI Scopus4 WoS4 Europe PMC2
2022 Minett, G. M., Fels-Camilleri, V., Bon, J. J., Impellizzeri, F. M., & Borg, D. N. (2022). Peer Presence Increases Session Ratings of Perceived Exertion. International Journal of Sports Physiology and Performance, 17(1), 106-110.
DOI Scopus17 WoS15 Europe PMC9
2021 Hutchins, K. P., Borg, D. N., Bach, A. J. E., Bon, J. J., Minett, G. M., & Stewart, I. B. (2021). Female (Under) Representation in Exercise Thermoregulation Research. Sports Medicine Open, 7(1), 43.
DOI Scopus63 WoS56 Europe PMC47
2021 Bon, J. J., Lee, A., & Drovandi, C. (2021). Accelerating sequential Monte Carlo with surrogate likelihoods. Statistics and Computing, 31(5), 26 pages.
DOI Scopus9 WoS9
2020 Borg, D. N., Bon, J. J., Sainani, K. L., Baguley, B. J., Tierney, N. J., & Drovandi, C. (2020). Comment on: ‘Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices’. Sports Medicine, 50(8), 1551-1553.
DOI Scopus14 WoS16 Europe PMC15
2020 Bon, J. J., Baffour, B., Spallek, M., & Haynes, M. (2020). Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables. Journal of Official Statistics, 36(2), 275-296.
DOI
2019 Bon, J. J., Ballard, T., & Baffour, B. (2019). Polling bias and undecided voter allocations: US presidential elections, 2004–2016. Journal of the Royal Statistical Society Series A Statistics in Society, 182(2), 467-493.
DOI Scopus6 WoS6
2019 Bon, J. J., Murray, K., & Turlach, B. A. (2019). Fitting monotone polynomials in mixed effects models. Statistics and Computing, 29(1), 79-98.
DOI Scopus3 WoS1
2017 Baffour, B., Roselli, T., Haynes, M., Bon, J. J., Western, M., & Clemens, S. (2017). Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends. Preventive Medicine Reports, 7, 91-98.
DOI Scopus7 Europe PMC6
- O'Flaherty, M., Kalucza, S., & Bon, J. (n.d.). Does Anyone Suffer from Teenage Motherhood? Mental Health Effects of Teen Motherhood in the UK are Small and Homogenous. SSRN Electronic Journal.
DOI
  • Understanding How We Manage Competing Demands Inside and Outside of Work ARC Discovery Project with Dr Timothy Ballard; Dr Niklas Steffens; Professor Andrew Neal; Professor Kim Peters; Professor Ilke Inceoglu, 2026
  • Adelaide Workshop on Data Privacy – DP and beyond University of Adelaide Early-Mid Career Researcher Grant, 2025
  • Fast inference using approximations of biological models QUT Centre for Data Science First Byte Grant, 2023
  • SMC Down Under: AMSI-AustMS Workshop on Sequential Monte Carlo Australian Mathematical Sciences Institute & Australian Mathematical Society, 2023

Date Role Research Topic Program Degree Type Student Load Student Name
2026 Principal Supervisor Improving Bayesian Additive Regression Tree Workflows for Causal Inference Master of Research Master Full Time Mr Sarel Gerhardus Venter

Date Role Editorial Board Name Institution Country
2025 - ongoing Member Statistics and Research Design Advisory Group Journal of Sports Science United Kingdom

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