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PhD(Statistics) (Queensland University of Technology), BAppSc(Statistics) (Queensland University of Technology), BInfTech(SoftwareEng/DataComms) (Queensland University of Technology)
Dr Chris Drovandi is a Professor in the School of Mathematical Sciences at the Queensland University of Technology (QUT). Chris completed his PhD in 2012 at QUT and currently holds an Australian Research Council (ARC) Future Fellowship on statistical inference for implicit models and an ARC Discovery Project on novel Sequential Monte Carlo methods. From 2016-2019 he held an ARC Discovery Early Career Researcher Fellowship. He is currently an Associate Editor for Statistics & Computing and the SIAM/ASA Journal of Uncertainty Quantification. His research interests are in Bayesian algorithms for complex models, optimal Bayesian experimental design methods and the translation of Bayesian methods across many disciplines. Chris is currently supervising several post-graduate students. For more information, visit Dr Drovandi’s website.
Additional information
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2021
- Details
- Moran Medalhttps://www.science.org.au/supporting-science/awards-and-opportunities/moran-medal
- Type
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2020
- Details
- Co-Chair of local organising committee for the Australian and New Zealand Statistics Conference 2020 (postponed due to COVID19)
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2017
- Details
- Coordinating Editor for Statistics and Computing (within top 2 journals in the discipline of computational statistics and top 10% in SCImago Statistics & Probability category)
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2016
- Details
- Vice-Chancellor's Performance Fund Award (for excellence in Research)
- Type
- Other
- Reference year
- 2016
- Details
- Chair of the Bayesian Statistics section of the Statistical Society of Australia (2016-2019)
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2012
- Details
- The ISBA Lifetime Members Junior Researcher Award
- Mengersen, K., Mcdonald-Madden, E., Adams, M., Monsalve-Bravo, G., Lawson, B., Drovandi, C., Burrage, K., Brown, K., Baker, C. & Vollert, S. (2022). Analysis of sloppiness in model simulations: Unveiling parameter uncertainty when mathematical models are fitted to data. Science Advances, 8(38). https://eprints.qut.edu.au/234309
- Priddle, J., Sisson, S., Frazier, D., Turner, I. & Drovandi, C. (2022). Efficient Bayesian Synthetic Likelihood With Whitening Transformations. Journal of Computational and Graphical Statistics, 31(1), 50–63. https://eprints.qut.edu.au/233361
- Frazier, D. & Drovandi, C. (2021). Robust Approximate Bayesian Inference With Synthetic Likelihood. Journal of Computational and Graphical Statistics, 30(4), 958–976. https://eprints.qut.edu.au/233362
- Price, L., Drovandi, C., Lee, A. & Nott, D. (2018). Bayesian synthetic likelihood. Journal of Computational and Graphical Statistics, 27(1), 1–11. https://eprints.qut.edu.au/92795
- Lawson, B., Drovandi, C., Cusimano, N., Burrage, P., Rodriguez, B. & Burrage, K. (2018). Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology. Science Advances, 4(1), 1–18. https://eprints.qut.edu.au/115595
- Drovandi, C., Pettitt, T. & Lee, A. (2015). Bayesian indirect inference using a parametric auxiliary model. Statistical Science, 30(1), 72–95. https://eprints.qut.edu.au/63767
- Drovandi, C. & Pettitt, T. (2011). Estimation of parameters for macroparasite population evolution using approximate Bayesian computation. Biometrics, 67(1), 225–233. https://eprints.qut.edu.au/39328
- Title
- Scalable and Robust Bayesian Inference for Implicit Statistical Models
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- FT210100260
- Start year
- 2022
- Keywords
- Title
- Advances in Sequential Monte Carlo Methods for Complex Bayesian Models
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP200102101
- Start year
- 2020
- Keywords
- Title
- Short and Long-Term Effects of Therapeutic Exercise in Children with Bronchiectasis: A Multi-Centre Randomised Controlled Trial
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- 1160613
- Start year
- 2019
- Keywords
- Bronchiectasis; Exercise Therapy; Child Health; Exacerbation; Quality of Life
- Title
- Tractable Bayesian Algorithms for Intractable Bayesian Problems
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DE160100741
- Start year
- 2016
- Keywords
- Advances in sequential Monte Carlo methods (2022)
- Bayesian Model Selection and Inference for Field Studies of Soil Carbon Cycling (2022)
- Statistical Modeling and Machine Learning in Longitudinal Data Analysis (2021)
- Contributions to Bayesian Synthetic Likelihood (2020)
- Experimental Design for Dependent Data (2020)
- Implementing Bayesian Synthetic Likelihood within the Engine for Likelihood-Free Inference (2022)
- A Novel Bayesian State-Space Model for Estimating Mosquito Populations (2021)
- Cost Effective Functional Response Experiments via Sequential Design (2021)
- Estimating Parameters of a Stochastic Cell Invasion Model with Flourescent Cell Cycle Labelling Using Approximate Bayesian Computation (2021)
- Efficient and Flexible Bayesian Synthetic Likelihood via Transformations (2020)