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Professor Joshua Ross

Professor Joshua Ross
Professor
School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences

I am an ARC Future Fellow and Associate Professor in Applied Mathematics. My research is focused on developing novel mathematical and statistical methods, and new probabilistic models, that assist in understanding the factors that are most important to complex systems in epidemiology and conservation biology. I use these techniques to assist in determining effective public health, and conservation/biosecurity, policy.

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External Profiles

Professor Joshua Ross

I am an ARC Future Fellow and Associate Professor in Applied Mathematics. My research is focused on developing novel mathematical and statistical methods, and new probabilistic models, that assist in understanding the factors that are most important to complex systems in epidemiology and conservation biology. I use these techniques to assist in determining effective public health, and conservation/biosecurity, policy.

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

Research Interests: Modelling in Ecology, Epidemiology and Evolution; Stochastic modelling; Bayesian computational statistics; Operations Research.

Appointments

Date Position Institution name
2015 Associate Professor in Applied Mathematics University of Adelaide
2014 - 2018 ARC Future Fellow University of Adelaide
2013 - 2014 Senior Lecturer in Applied Mathematics University of Adelaide
2010 - 2012 Lecturer in Applied Mathematics University of Adelaide
2007 - 2010 Zukerman Junior Research Fellow King's College, University of Cambridge
2006 - 2007 Post-doctoral Research Fellow University of Warwick

Awards and Achievements

Date Type Title Institution Name Country Amount
2017 Honour Moran Medal Australian Academy of Science Australia
2016 Research Award J.H. Michell Medal ANZIAM

Education

Date Institution name Country Title
University of Queensland Australia PhD in Mathematics
University of Queensland Australia GCEd (Higher Education)
University of Queensland Australia BSc (Hons I) (Mathematics)
University of Queensland Australia BSc (Mathematics & Statistics)
University of Queensland Australia BA (Economics)

Journals

Year Citation
2018 Rebuli, N., Bean, N., & Ross, J. (2018). Estimating the basic reproductive number during the early stages of an emerging epidemic. Theoretical Population Biology, 119, 26-36.
DOI Scopus1
2018 Brock, A., Ross, J., Parikh, S., & Esterman, A. (2018). The role of antimalarial quality in the emergence and transmission of resistance. Medical Hypotheses, 111, 49-54.
DOI
2018 Kinyanjui, T., Middleton, J., Güttel, S., Cassell, J., Ross, J., & House, T. (2018). Scabies in residential care homes: Modelling, inference and interventions for well-connected population sub-units. PLoS Computational Biology, 14(3), 1-24.
DOI
2018 Yan, A., Black, A., McCaw, J., Rebuli, N., Ross, J., Swan, A., & Hickson, R. (2018). The distribution of the time taken for an epidemic to spread between two communities. Mathematical Biosciences, 303, 139-147.
DOI
2018 Price, D., Bean, N., Ross, J., & Tuke, J. (2018). Designing group dose-response studies in the presence of transmission. Mathematical Biosciences.
DOI
2018 Price, D., Bean, N., Ross, J., & Tuke, J. (2018). An induced natural selection heuristic for finding optimal Bayesian experimental designs. Computational Statistics and Data Analysis, 126, 112-124.
DOI
2017 Cope, R., Ross, J., Wittmann, T., Watts, M., & Cassey, P. (2017). Predicting the risk of biological invasions using environmental similarity and transport network connectedness. Risk Analysis, OnlinePubl, 1-19.
DOI
2017 Prowse, T., Cassey, P., Ross, J., Pfitzner, C., Wittmann, T., & Thomas, P. (2017). Dodging silver bullets: good CRISPR gene-drive design is critical for eradicating exotic vertebrates.. Proceedings of the Royal Society B: Biological Sciences, 284(1860), 20170799-1-20170799-10.
DOI Scopus10 WoS10 Europe PMC4
2017 Ballard, P., Bean, N., & Ross, J. (2017). Intervention to maximise the probability of epidemic fade-out. Mathematical Biosciences, 293, 1-10.
DOI
2017 Walker, J., Ross, J., & Black, A. (2017). Inference of epidemiological parameters from household stratified data. PLoS ONE, 12(10), e0185910-1-e0185910-21.
DOI
2017 García-Díaz, P., Ross, J., Woolnough, A., & Cassey, P. (2017). Managing the risk of wildlife disease introduction: pathway-level biosecurity for preventing the introduction of alien ranaviruses. Journal of Applied Ecology, 54(1), 234-241.
DOI Scopus2 WoS2
2017 García-Díaz, P., Ross, J., Woolnough, A., & Cassey, P. (2017). The illegal wildlife trade is a likely source of alien species. Conservation Letters, 10(6), 690-698.
DOI Scopus3 WoS2
2017 Rebuli, N., Bean, N., & Ross, J. (2017). Hybrid Markov chain models of S-I-R disease dynamics. Journal of Mathematical Biology, 75(3), 521-541.
DOI Scopus3 WoS1
2017 Black, A., Geard, N., McCaw, J., McVernon, J., & Ross, J. (2017). Characterising pandemic severity and transmissibility from data collected during first few hundred studies. Epidemics, 19, 61-73.
DOI Scopus2 WoS2 Europe PMC1
2016 Heinrich, S., Wittmann, T., Prowse, T., Ross, J., Delean, S., Shepherd, C., & Cassey, P. (2016). Where did all the pangolins go? International CITES trade in pangolin species. Global Ecology and Conservation, 8, 241-253.
DOI Scopus6 WoS6
2016 Mitchell, L., & Ross, J. (2016). A data-driven model for influenza transmission incorporating media effects. Royal Society Open Science, 3(10), 160481-1-160481-10.
DOI Scopus2 WoS2
2016 Ballard, P., Bean, N., & Ross, J. (2016). The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography. Journal of Theoretical Biology, 393, 170-178.
DOI Scopus2 WoS1 Europe PMC1
2016 Bean, N., Eshragh, A., & Ross, J. (2016). Fisher Information for a partially-observable simple birth process. Communications in Statistics - Theory and Methods, 45(24), 7161-7183.
DOI WoS1
2016 Price, D., Bean, N., Ross, J., & Tuke, J. (2016). On the efficient determination of optimal Bayesian experimental designs using ABC: a case study in optimal observation of epidemics. Journal of Statistical Planning and Inference, 172, 1-15.
DOI Scopus3 WoS2
2016 Lydeamore, M., Bean, N., Black, A., & Ross, J. (2016). Choice of antiviral allocation scheme for pandemic influenza depends on strain transmissibility, delivery delay and stockpile size. Bulletin of Mathematical Biology, 78(2), 293-321.
DOI Scopus2 WoS1 Europe PMC2
2016 Cope, R., Ross, J., Wittmann, T., Prowse, T., & Cassey, P. (2016). Integrative analysis of the physical transport network into Australia. PLoS One, 11(2), e0148831-1-e0148831-16.
DOI Scopus5 WoS5 Europe PMC1
2016 Johnston, S., Ross, J., Binder, B., Sean McElwain, D., Haridas, P., & Simpson, M. (2016). Quantifying the effect of experimental design choices for in vitro scratch assays. Journal of Theoretical Biology, 400, 19-31.
DOI Scopus6 WoS5 Europe PMC2
2015 Keeling, M., & Ross, J. (2015). Optimal prophylactic vaccination in segregated populations: When can we improve on the equalising strategy?. Epidemics, 11, 7-13.
DOI Scopus4 WoS4 Europe PMC3
2015 Cope, R., Prowse, T., Ross, J., Wittmann, T., & Cassey, P. (2015). Temporal modelling of ballast water discharge and ship-mediated invasion risk to Australia. Royal Society Open Science, 2(4), 150039-1-150039-15.
DOI Scopus9 WoS6 Europe PMC3
2015 Binder, B., Landman, K., Newgreen, D., & Ross, J. (2015). Incomplete penetrance: the role of stochasticity in developmental cell colonization. Journal of Theoretical Biology, 380, 309-314.
DOI Scopus2 WoS2 Europe PMC2
2015 Bean, N., Elliott, R., Eshragh, A., & Ross, J. (2015). On binomial observations of continuous-time Markovian population models. Journal of Applied Probability, 52(2), 457-472.
DOI WoS1
2015 Robinson, S., Souter, N., Bean, N., Ross, J., Thompson, R., & Bjornsson, K. (2015). Statistical description of wetland hydrological connectivity to the River Murray in South Australia under both natural and regulated conditions. Journal of Hydrology, 531(3), 929-939.
DOI Scopus5 WoS4
2015 García-Díaz, P., Ross, J., Ayres, C., & Cassey, P. (2015). Understanding the biological invasion risk posed by the global wildlife trade: propagule pressure drives the introduction and establishment of Nearctic turtles. Global Change Biology, 21(3), 1078-1091.
DOI Scopus17 WoS17 Europe PMC3
2015 Black, A., & Ross, J. (2015). Computation of epidemic final size distributions. Journal of Theoretical Biology, 367, 159-165.
DOI Scopus12 WoS11 Europe PMC7
2015 Ross, J., & Black, A. (2015). Contact tracing and antiviral prophylaxis in the early stages of a pandemic: the probability of a major outbreak. Mathematical Medicine and Biology, 32(3), 331-343.
DOI Scopus4 WoS4 Europe PMC2
2014 Ross, J., & Binder, B. (2014). Approximating spatially exclusive invasion processes. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 89(5), 052709-1-052709-7.
DOI
2014 Johnston, S., Simpson, M., McElwain, D., Binder, B., & Ross, J. (2014). Interpreting scratch assays using pair density dynamics and approximate Bayesian computation. Open Biology, 4(9), 140097-1-140097-9.
DOI Scopus17 WoS17 Europe PMC9
2014 Davies, K., Green, J., Bean, N., Binder, B., & Ross, J. (2014). On the derivation of approximations to cellular automata models and the assumption of independence. Mathematical Biosciences, 253(1), 63-71.
DOI Scopus2 WoS3 Europe PMC2
2014 Black, A., House, T., Keeling, M., & Ross, J. (2014). The effect of clumped population structure on the variability of spreading dynamics. Journal of Theoretical Biology, 359, 45-53.
DOI Scopus5 WoS5 Europe PMC5
2014 McKinley, T., Ross, J., Deardon, R., & Cook, A. (2014). Simulation-based Bayesian inference for epidemic models. Computational Statistics & Data Analysis, 71, 434-447.
DOI Scopus17 WoS18
2014 Cope, R., Cassey, P., Hugo, G., & Ross, J. (2014). Assessment of the risk of Ebola importation to Australia. PLoS Currents, 6, 1-9.
DOI Europe PMC1
2013 House, T., Ross, J., & Sirl, D. (2013). How big is an outbreak likely to be? Methods for epidemic final-size calculation. Proceedings of the Royal Society of London Series A-Mathematical Physical and Engineering Sciences, 469(2150), 1-22.
DOI Scopus20 WoS21
2013 Black, A., & Ross, J. (2013). Estimating a Markovian epidemic model using household serial interval data from the early phase of an epidemic. PLoS One, 8(8), 1-8.
DOI Scopus6 WoS5 Europe PMC5
2013 Black, A., House, T., Keeling, M., & Ross, J. (2013). Epidemiological consequences of household-based antiviral prophylaxis for pandemic influenza. Journal of the Royal Society. Interface, 10(81), 1-10.
DOI Scopus22 WoS18 Europe PMC11
2013 Pagendam, D., & Ross, J. (2013). Optimal use of GPS transmitter for estimating species migration rate. Ecological Modelling, 249, 37-41.
DOI Scopus4 WoS4
2013 Bean, N., Pollett, P., Ross, J., & Taylor, P. (2013). Preface. Ecological Modelling, 249, 1-2.
DOI
2012 Binder, B., Ross, J., & Simpson, M. (2012). A hybrid model for studying spatial aspects of infectious diseases. The ANZIAM Journal, 54(1-2), 37-49.
DOI Scopus2 WoS2
2012 House, T., Inglis, N., Ross, J., Wilson, F., Suleman, S., Edeghere, O., . . . Keeling, M. (2012). Estimation of outbreak severity and transmissibility: Influenza A(H1N1)pdm09 in households. BMC Medicine, 10(1), 1-9.
DOI Scopus19 WoS20 Europe PMC13
2012 Ross, J. (2012). On parameter estimation in population models III: Time-inhomogeneous processes and observation error. Theoretical Population Biology, 82(1), 1-17.
DOI Scopus5 WoS4 Europe PMC3
2011 Ross, J. (2011). Invasion of infectious diseases in finite homogeneous populations. Journal of Theoretical Biology, 289(1), 83-89.
DOI Scopus15 WoS14 Europe PMC8
2011 Danon, L., Ford, A., House, T., Jewell, C., Keeling, M., Roberts, G., . . . Vernon, M. (2011). Networks and the epidemiology of infectious disease. Interdisciplinary Perspectives on Infectious Diseases, 2011(284909), 284909-1-284909-28.
DOI Scopus135 Europe PMC43
2011 Spence, L., Ross, J., Wiser, S., Allen, R., & Coomes, D. (2011). Disturbance affects short-term facilitation, but not long-term saturation, of exotic plant invasion in New Zealand forest. Proceedings of the Royal Society of London Series B, 278(1711), 1457-1466.
DOI Scopus13 WoS14 Europe PMC4
2011 Conlan, A., Eames, K., Gage, J., von Kirchbach, J., Ross, J., Saenz, R., & Gog, J. (2011). Measuring social networks in British primary schools through scientific engagement. Proceedings of the Royal Society of London Series B - Biological Sciences, 278(1711), 1467-1475.
DOI Scopus30 WoS32 Europe PMC14
2010 Pollett, P., Dooley, A., & Ross, J. (2010). Modelling population processes with random initial conditions. Mathematical Biosciences, 223(2), 142-150.
DOI Scopus4 WoS3
2010 Ross, J., & Pollett, P. (2010). SImple rules for ranking and optimally managing metapopulations. Ecological Modelling, 221(21), 2515-2520.
DOI Scopus7 WoS7
2010 Ross, J., House, T., & Keeling, M. (2010). Calculation of disease dynamics in a population of households. PLoS One, 5(3), 1-9.
DOI Scopus29 WoS23 Europe PMC14
2010 Ross, J. (2010). Computationally exact methods for stochastic periodic dynamics: Spatiotemporal dispersal and temporally forced transmission. Journal of Theoretical Biology, 262(1), 14-22.
DOI Scopus5 WoS6 Europe PMC1
2009 Ross, J. (2009). A note on density dependence in population models. Ecological Modelling, 220(23), 3472-3474.
DOI Scopus11 WoS10
2009 Dangerfield, C., & Ross, J. (2009). Integrating stochasticity and network structure into an epidemic model. Journal of the Royal Society. Interface, 6(38), 761-774.
DOI Scopus43 WoS41 Europe PMC18
2009 Keeling, M., & Ross, J. (2009). Efficient methods for studying stochastic disease and population dynamics. Theoretical Population Biology, 75(2-3), 133-141.
DOI Scopus6 WoS6 Europe PMC5
2009 Ross, J., Pagendam, D., & Pollett, P. (2009). On parameter estimation in population models II: multi-dimensional processes and transient dynamics. Theoretical Population Biology, 75(2-3), 123-132.
DOI Scopus26 WoS25 Europe PMC11
2008 Keeling, M., & Ross, J. (2008). On methods for studying stochastic disease dynamics. Journal of the Royal Society. Interface, 5(19), 171-181.
DOI Scopus87 WoS75 Europe PMC38
2008 Ross, J., Sirl, D., Pollett, P., & Possingham, H. (2008). Metapopulation persistence in a dynamic landscape: more habitat or better stewardship?. Ecological Applications, 18(3), 590-598.
DOI Scopus13 WoS13 Europe PMC6
2007 Ross, J., Taimre, T., & Pollett, P. (2007). Estimation for queues from queue length data. Queueing Systems, 55(2), 131-138.
DOI Scopus17 WoS16
2007 Wagner, L., Ross, J., & Possingham, H. (2007). Catastrophe management and inter-reserve distance for marine reserve networks. Ecological Modelling, 201(1), 82-88.
DOI Scopus7 WoS5
2007 Pollett, P., & Ross, J. (2007). Management, control and decision making for ecological systems. Ecological Modelling, 201(1), 1.
DOI
2007 Cairns, B., Ross, J., & Taimre, T. (2007). A comparison of models for predicting population persistence. Ecological Modelling, 201(1), 19-26.
DOI Scopus10 WoS12
2007 Ross, J., & Pollett, P. (2007). On costs and decisions in population management. Ecological Modelling, 201(1), 60-66.
DOI Scopus7 WoS6
2006 Ross, J. (2006). A stochastic metapopulation model accounting for habitat dynamics. Journal of Mathematical Biology, 52(6), 788-806.
DOI Scopus24 WoS26 Europe PMC14
2006 Ross, J. (2006). Stochastic models for mainland-island metapopulations in static and dynamic landscapes. Bulletin of Mathematical Biology, 68(2), 417-449.
DOI Scopus15 WoS15 Europe PMC9
2006 Ross, J. (2006). Comment on "On the Regulation of Populations of Mammals, Birds, Fish, and Insects" II. Science, 311(5764), 1100.
DOI Scopus4 WoS2 Europe PMC2
2006 Ross, J., & Pollett, P. (2006). Extinction times for a birth-death process with two phases. Mathematical Biosciences, 202(2), 310-322.
DOI Scopus4 WoS5
2006 Ross, J., Taimre, T., & Pollett, P. (2006). On parameter estimation in population models. Theoretical Population Biology, 70(4), 498-510.
DOI Scopus34 WoS31 Europe PMC14

Conference Papers

Year Citation
2018 Mitchell, L., Dent, J., & Ross, J. V. (2018). Mo’ characters mo’ problems: Online social media platform constraints and modes of communication. In Proceedings of the 19th annual conference of the Association of Internet Researchers (AOIR ‘18). Montreal.
2011 Pagendam, D., & Ross, J. (2011). Optimal GPS tracking for estimating species movements. In Proceedings of MODSIM 2011 (pp. 2261-2267). online: The Modelling and Simulation Society of Australia and New Zealand.
2009 Ross, J., & Pollett, P. (2009). Rules of thumb for metapopulation management. In R. Anderssen, R. Braddock, & L. Newham (Eds.), Interfacing modelling and simulation with mathematical and computational sciences : 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009 : proceedings (pp. 1795-1801). Christchurch: Modelling and Simulation Society of Australia and New Zealand.
2007 Ross, J., & Taimre, T. (2007). On the analysis of hospital infection data using Markov models. In D. Kulasiri, & L. Oxley (Eds.), MODSIM 2007 International Congress on Modelling and Simulation (pp. 2939-2945). Christchurch, New Zealand: Modelling and Simulation Society of Australia and New Zealand.
Scopus1
2005 Cairns, B., Ross, J., & Taimre, T. (2005). Models for predicting extinction times: shall we dance (or walk or jump)?. In Proceedings of the 16th Biennial Congress on Modelling and Simulation (MODSIM05) (pp. 2061-2067). Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.
2005 Pollett, P., & Ross, J. (2005). Costs and decisions in population management: koalas on Kangaroo Island. In Proceedings of the 16th Biennial Congress on Modelling and Simulation (pp. 2082-2088). Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.

Report for External Bodies

Year Citation
2017 Heinrich, S., Wittmann, T. A., Ross, J. V., Shepherd, C., Challender, D. W. S., & Cassey, P. (2017). The Global Trafficking of Pangolins: A comprehensive summary of seizures and trafficking routes from 2010 –2015. Petaling Jaya, Selangor, Malaysia.: TRAFFIC.

Internet Publications

Year Citation
2016 McVernon, J., Ross, J. V., Glass, K., Mitchell, L., Geard, N., & Moss, R. (2016). Computing helps the study of infections on a global and local scale.

2015 Data to Decisions CRC Beat The News Disease Prediction Project (with Dr Lewis Mitchell and Prof. Nigel Bean) ($637,606 over 3 years)

2014 National Health and Medical Research Council Centre of Research Excellence for Policy Relevant Infectious Disease Simulation and Mathematical Modelling (CIA A/Prof. Jodie McVernon, CIB Prof. Archie Clements, CIC Dr Joshua Ross, CID Dr James McCaw, CIE Dr James Wood, CIF A/Prof. Emma McBryde, CIG Dr Kathryn Glass, CIH Dr Nicholas Geard) ($2,495,032 over 5 years)

2014 Australian Research Council Discovery Project "Transport risk pathways for emerging invasive species" (with A/Prof. Phillip Cassey and A/Prof. John Drake) ($343,000 over 3 years)

2013 Australian Research Council Future Fellowship "Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference" ($619,381 over 4 years)

2013 Royal Society International Exchanges Scheme Grant "The impact of social mixing on the spread and control of diseases" (with Prof. Matt Keeling) (£11,900 over 2 years)

2011 Australian Research Council Discovery Project "New methods for integrating population structure and stochasticity into models of disease dynamics" ($248,000 over 3 years)

2011 Australian Research Council Discovery Project "New methods for improving active adaptive management in biological systems" (with Prof. Nigel Bean, Prof. Phil Pollett and Prof. Peter Taylor) ($255,000 over 3 years)

Current Higher Degree by Research Supervision (University of Adelaide)

Date Role Research Topic Program Degree Type Student Load Student Name
2018 Principal Supervisor Mathematical Modelling of the Early Stages of Multicellular Evolution Doctor of Philosophy Doctorate Full Time Mr Matthew Cody Nitschke
2018 Co-Supervisor Techniques for Cyber Vulnerability Exploit Prediction Doctor of Philosophy Doctorate Full Time Mr Andrew Robert Feutrill
2018 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
2017 Principal Supervisor Early Warning Signals: The Interaction of Social Media With Vaccination and Disease Outbreak Doctor of Philosophy Doctorate Full Time Mr Dennis Liu
2017 Principal Supervisor Exploring the Link Between Weather Factors and Influenza Dynamics Master of Philosophy Master Full Time Miss Jessica Penfold
2017 Principal Supervisor Methods for Combating the Global Illegal Pangolin Trade Master of Philosophy Master Full Time Miss Rachel Su Yi McLean
2016 Principal Supervisor Stochastic Modelling of Epidemics with Time-Dependent Force of Infection Doctor of Philosophy Doctorate Full Time Mr James Nicholas Walker
2016 Co-Supervisor Quantitative assessment of the illegal global trade of pangolin species from SE-Asia & Africa Doctor of Philosophy Doctorate Full Time Ms Sarah Heinrich
2016 Co-Supervisor Wildlife Trafficking and Crime in Southeast Asia Doctor of Philosophy Doctorate Full Time Miss Freyja Watters

Past Higher Degree by Research Supervision (University of Adelaide)

Date Role Research Topic Program Degree Type Student Load Student Name
2015 - 2018 Co-Supervisor Epidemic fade-out in the Markovian SIR-with-demography infection model Doctor of Philosophy Doctorate Part Time Mr Peter Geoffrey Ballard
2015 - 2017 Principal Supervisor Epidemiological Characterisation of 1918 Pandemic Influenza Aboard Ships Master of Philosophy Master Full Time Mr Lachlan David Bubb
2015 - 2017 Principal Supervisor Household Models for Endemic Diseases Master of Philosophy Master Full Time Mr Jonathon James Pantelis
2014 - 2017 Co-Supervisor Optimal Allocation of Vaccines in Metapopulations Doctor of Philosophy Doctorate Full Time Mingmei Teo
2014 - 2018 Co-Supervisor Hybrid methodology for Markovian epidemic models Doctor of Philosophy Doctorate Full Time Nicolas Peter Rebuli
2014 - 2016 Principal Supervisor Inference Methods for First Few Hundred Studies Master of Philosophy Master Full Time Mr James Nicholas Walker
2014 - 2016 Co-Supervisor Inference for Epidemics on Networks Master of Philosophy Master Full Time Mr Brock Anthony Hermans
2013 - 2015 Co-Supervisor Approximations of Stochastic Household Models for Comparing Antiviral Allocation Schemes Master of Philosophy Master Full Time Michael John Lydeamore
2013 - 2017 Co-Supervisor Alien Vertebrate Risk Assessment and Invasion Pathway Modelling Doctor of Philosophy Doctorate Full Time Mr Pablo Garcia Diaz
2012 - 2013 Co-Supervisor Interval Markov chains: Performance measures and sensitivity analysis Master of Philosophy Master Full Time Mingmei Teo
2012 - 2015 Co-Supervisor On the Advancement of Optimal Experimental Design with Applications to Infectious Diseases Doctor of Philosophy Doctorate Full Time David James Price
2012 - 2016 Co-Supervisor On the Derivation and Application of Closure Approximations of Cellular Automata Models Doctor of Philosophy Doctorate Part Time Mr Kale James Davies

Committee Memberships

Date Role Committee Institution Country
2016 - ongoing Representative Executive Committee of ANZIAM ANZIAM
2015 - ongoing Member Scientific Committee of MATRIX@Melbourne

Editorial Boards

Date Role Editorial Board Name Institution Country
2015 - ongoing Board Member PLOS Currents Outbreaks
Position
Professor
Phone
83136420
Fax
8313 3696
Campus
North Terrace
Building
Ingkarni Wardli, floor 6 22
Room Number
22
Org Unit
Mathematical Sciences

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