Avatar Image

Dr Christopher Drovandi

Science and Engineering Faculty,
Mathematical Sciences,
Statistical Science

Personal

Name
Dr Christopher Drovandi
Position(s)
Senior Research Fellow (DECRA)
Science and Engineering Faculty,
Mathematical Sciences,
Statistical Science
Senior Lecturer
Science and Engineering Faculty,
Mathematical Sciences,
Statistical Science
Discipline *
Statistics
Phone
+61 7 3138 1756
Fax
+61 7 3138 2310
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD
Qualifications

PhD(Statistics) (Queensland University of Technology), BAppSc(Statistics) (Queensland University of Technology), BInfTech(SoftwareEng/DataComms) (Queensland University of Technology)

Professional memberships
and associations
Keywords

Approximate Bayesian Computation, Markov chain Monte Carlo, Sequential Monte Carlo, Statistics

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Teaching

Achievements  

  • Invited to teach at AMSI Summer School 2015 (University of Newcastle)
  • Nominated for 2015 QUT Vice-Chancellor’s Award for Excellence in Teaching
  • Nominated for 2014 QUT SEF Award for Excellence in Postgraduate Research Supervision

Undergraduate Teaching    

Current:

MXB241 Probability and Stochastic Modelling 2

  • Generating Functions
  • Transformation of Random Variables
  • Order Statistics
  • Markov Chains including Simple Random Walks and Branching Processes
  • Continuous Time Markov Chains
  • Brownian Motion

Past: MXB101 Probability and Stochastic Modelling 1

  • Probability
  • Univariate Discrete and Continuous Random Variables
  • Bivariate Discrete Distributions
  • Chi-square Goodness-of-fit
  • Markov Chains
  • Poisson Processes
MXB361 Aspects of Computational Science
  • Random Number Generation
  • Rejection Sampling
  • Importance Sampling
  • Monte Carlo Integration
MAB624 Applied Statistics 2
  • Generalised Linear Models

Postgraduate Teaching

MAN200 Computational Bayesian Statistics

  • Monte Carlo Integration
  • Importance Sampling and Adaptive Importance Sampling
  • Markov chain Monte Carlo
  • Sequential Monte Carlo
  • Approximate Bayesian Computation
This information has been contributed by Dr Christopher Drovandi.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2012
Details
The ISBA Lifetime Members Junior Researcher Award

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

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

Supervision