Find Chris Drovandi on
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 is currently a holder of an Australian Research Council (ARC) Discovery Project on novel Sequential Monte Carlo methods. In 2022 he will commence an ARC Future Fellowship on statistical inference for implicit models. From 2016-2019 he held an ARC Discovery Early Career Researcher Fellowship, delivering close to $400,000 in funding. 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
- Warne D, Ebert A, Drovandi C, Hu W, Mira A, Mengersen K, (2020) Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic, BMC Public Health, 20 (1).
- An Z, Nott D, Drovandi C, (2020) Robust Bayesian synthetic likelihood via a semi-parametric approach, Statistics and Computing, 30 (3).
- Moffat H, Hainy M, Papanikolaou N, Drovandi C, (2020) Sequential experimental design for predator-prey functional response experiments, Journal of the Royal Society, Interface, 17 (166), pp. 1-19.
- Price L, Drovandi C, Lee A, Nott D, (2018) Bayesian synthetic likelihood, Journal of Computational and Graphical Statistics, 27 (1), pp. 1-11.
- 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), pp. 1-18.
- Ong V, Nott D, Tran M, Sisson S, Drovandi C, (2018) Variational Bayes with synthetic likelihood, Statistics and Computing, 28 (4), pp. 971-988.
- Drovandi C, Pettitt T, Lee A, (2015) Bayesian indirect inference using a parametric auxiliary model, Statistical Science, 30 (1), pp. 72-95.
- Drovandi C, McGree J, Pettitt T, (2014) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design, Journal of Computational and Graphical Statistics, 23 (1), pp. 3-24.
- Drovandi C, Pettitt T, (2013) Bayesian experimental design for models with intractable likelihoods, Biometrics, 69 (4), pp. 937-948.
- Drovandi C, Pettitt T, (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation, Biometrics, 67 (1), pp. 225-233.
- 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
- Contributions to Bayesian Synthetic Likelihood (2020)
- Experimental Design for Dependent Data (2020)
- Contributions to Computational Bayesian Statistics (2019)
- Optimal Bayesian Experimental Designs for Complex Models (2019)
- Novel Likelihood-Free Bayesian Parameter Estimation Methods for Stochastic Models of Collective Cell Spreading (2016)
- Contributions to Bayesian Experimental Design (2014)