
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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Appointments
Date Position Institution name 2016 DECRA Research Fellow University of Adelaide -
Research Interests
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Journals
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2020 Principal Supervisor Inference of population level transmissibility in household-structured epidemic models Master of Philosophy Master Full Time Miss Shan Shan Lin 2020 Co-Supervisor Optimising Energy Storage for a One Hundred Percent Renewable Power Grid. Master of Philosophy Master Full Time Mr Cameron James Baulderstone 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 Efficient Bayesian Inference to Understand Disease Dynamics 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
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