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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 an Associate Professor in the School of Mathematical Sciences at the Queensland University of Technology (QUT) and is an Associate Investigator of ACEMS. Chris completed his PhD in 2012 at QUT and is currently a holder of an Australian Research Council Discovery Early Career Researcher’s Award, delivering close to $400,000 in funding over 3 years. 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
- 2016
- Details
- Vice-Chancellor's Performance Fund Award (for excellence in Research)
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2012
- Details
- The ISBA Lifetime Members Junior Researcher Award
- Price L, Drovandi C, Lee A, Nott D, (2018) Bayesian synthetic likelihood, Journal of Computational and Graphical Statistics p1-11
- 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 p1-18
- Ong V, Nott D, Tran M, Sisson S, Drovandi C, (2018) Variational Bayes with synthetic likelihood, Statistics and Computing p971-988
- Drovandi C, McCutchan R, (2016) Alive SMC2: Bayesian model selection for low-count time series models with intractable likelihoods, Biometrics p344-353
- Drovandi C, Pettitt T, Lee A, (2015) Bayesian indirect inference using a parametric auxiliary model, Statistical Science p72-95
- Vo B, Drovandi C, Pettitt T, Pettet G, (2015) Melanoma cell colony expansion parameters revealed by approximate Bayesian computation, PLoS Computational Biology p1-22
- 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 p3-24
- Drovandi C, Pettitt T, (2013) Bayesian experimental design for models with intractable likelihoods, Biometrics p937-948
- Drovandi C, Pettitt T, Faddy M, (2011) Approximate Bayesian computation using indirect inference, Journal of the Royal Statistical Society. Series C: Applied Statistics p317-337
- Drovandi C, Pettitt T, (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation, Biometrics p225-233
- Title
- Tractable Bayesian Algorithms for Intractable Bayesian Problems
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DE160100741
- Start year
- 2016
- Keywords