Andrew Black

Dr Andrew Black

Lecturer in Applied Mathematics

School of Mathematical Sciences

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.


My research is based around stochastic modelling, mathematical epidemiology, evolution, probabilistic learning and Bayesian inference.

Some current projects are:

  • Mathematical modelling of the evolutionary transition from cells to multicellular life.
  • Developing inference methods to assist pandemic preparedness.
  • Quantifying the 1918 influenza pandemic.
  • New simulation methods and importance sampling algorithms for stochastic models.
  • Pseudo-marginal methods for Markov chain Monte Carlo.
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  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2021 Principal Supervisor Diffusion Approximations for Epidemic Modelling and Correlated Pseudo-Marginal Inference Methods. Master of Philosophy Master Full Time Mr Michael Fairbrother
    2021 Principal Supervisor Fast likelihood-free inference for epidemic models using neural density estimation techniques. Master of Philosophy Master Full Time Mr Luke Phillip O'Loughlin
    2021 Principal Supervisor A modelling framework for estimating the risk of importation of a novel disease Master of Philosophy Master Full Time Mr Antonio Max Parrella
    2020 Principal Supervisor Inference of population level transmissibility in household-structured epidemic models Master of Philosophy Master Full Time Miss Shan Shan Lin
    2020 Principal Supervisor Understanding the Factors that Lead to the Rebound in Syphilis Transmission in Australia, in the Early 21st Century Doctor of Philosophy Doctorate Full Time Miss Kym Erin Wilkins
    2019 Principal Supervisor Inference on historical Ebola outbreaks using hierarchial models: a particle filtering approach Master of Philosophy Master Full Time Mr Dylan John Morris
    2018 Principal Supervisor Mathematical Modelling of the Early Stages of Multicellular Evolution Doctor of Philosophy Doctorate Full Time Mr Matthew Cody Nitschke
  • Past Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2016 - 2020 Co-Supervisor Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models Doctor of Philosophy Doctorate Full Time Mr James Nicholas Walker
    2015 - 2017 Co-Supervisor Epidemiological Characterisation of 1918 Pandemic Influenza Aboard Ships Master of Philosophy Master Full Time Mr Lachlan David Bubb
    2015 - 2017 Co-Supervisor Household Models for Endemic Diseases Master of Philosophy Master Full Time Mr Jonathon James Pantelis
    2014 - 2016 Co-Supervisor Inference Methods for First Few Hundred Studies Master of Philosophy Master Full Time Mr James Nicholas Walker
    2013 - 2015 Co-Supervisor Approximations of Stochastic Household Models for Comparing Antiviral Allocation Schemes Master of Philosophy Master Full Time Michael John Lydeamore
  • Position: Lecturer in Applied Mathematics
  • Phone: 83134177
  • Email: andrew.black@adelaide.edu.au
  • Fax: 8313 3696
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 6
  • Room: 6 50
  • Org Unit: Mathematical Sciences

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