Associate Professor Chris Drovandi

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Recent tweets

  • RT @dr_EBeadle: Outcomes from 1st year of our #ABI #rehab service #ABITRS @MetSthHealth @MAICQld. Such a huge effort from many wonderful…
  • RT @QUT: #QUT researchers have developed a new way to help predict and try to stop the spread of the ‘stubborn’ banana bunchy top virus #BB
  • RT @ACEMathStats: Particle Methods for Stochastic Differential Equation Mixed Effects Models - just published research from Imke Botha & @c
  • RT @samikaski: Instead of changing the prior for interpretability, which may sacrifice accuracy, put it to the decision-making utility. htt…
  • RT @awllee: We are hiring in Bristol; if you are interested please apply, and if you aren't please let anyone who would be interested know!…

Associate Professor, School of Mathematical Sciences

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
Title
Tractable Bayesian Algorithms for Intractable Bayesian Problems
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DE160100741
Start year
2016
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