Curriculum Vitae
Dr Michael Lydeamore
Department of Econometrics and Business Statistics
Monash University
Email: michael.lydeamore@monash.edu
Appointments Held
Senior Lecturer - Econometrics and Business Statistics
Monash University
2021-
COVID-19 Modelling & Forecasting Lead
Manager, Analytics
Department of Health and Human Services, Victoria
2020
Postdoctoral Research Fellow
Monash University
2019-2021
Honorary Team Member
SaferCare Victoria
2019-
Honorary Research Fellow
Alfred Health
2019-
Research Fellow
The Kirby Institute, University of New South Wales
2018-2019
Education
Doctor of Philosophy - Applied Mathematics
The University of Melbourne
Thesis title: Mechanistic and statistical models of skin disease transmission
2015-2019
Masters of Philosophy - Applied Mathematics
The University of Adelaide
Thesis title: Approximations of stochastic household models for comparing antiviral allocation schemes
Awarded the Applied Probability Trust prize for the highest mark with a project in Applied Mathematics and Statistics
2013-2014
Bachelor of Mathematical Sciences
The University of Adelaide
Graduated with a double major in applied and pure mathematics
2010-2013
Publications
Preprints
Gamage, J. P., Cook, D., Harrison, P., Lydeamore, M., & Talagala, T. S. (2025). quollr: An R Package for Visualizing 2-D Models from Nonlinear Dimension Reductions in High-Dimensional Space (arXiv:2512.18166). arXiv. https://doi.org/10.48550/arXiv.2512.18166
Gamage, J. P., Cook, D., Harrison, P., Lydeamore, M., & Talagala, T. S. (2025). cardinalR: Generating Interesting High-Dimensional Data Structures (arXiv:2512.18172). arXiv. https://doi.org/10.48550/arXiv.2512.18172
Gamage, J. P., Cook, D., Harrison, P., & Lydeamore, M. (2025). Stop Lying to Me: New Visual Tools to Choose the Most Honest Nonlinear Dimension Reduction (arXiv:2506.22051). arXiv. https://doi.org/10.48550/arXiv.2506.22051
Miller, C. M., Lydeamore, M. J., Waddle, A. W., Berger, L., Skerratt, L. F., Flegg, J. A., & Campbell, P. T. (2025). Mathematical modelling of chytridiomycosis transmission in frogs (arXiv:2503.06846). arXiv. https://doi.org/10.48550/arXiv.2503.06846
Conway, E., Walker, C., Lydeamore, M., Golding, N., Ryan, G., Mavec, D., Oates, J., Kabashima, G., Price, D. J., Shearer, F., Cromer, D., Davenport, M. P., McCaw, J., Eriksson, E. M., Hodgkin, P. D., Wu, L., Le, T. P., Baker, C. M., Mueller, I., & McVernon, J. (2024). Optimal timing of booster doses in a highly vaccinated population with minimal natural exposure to COVID-19. medRxiv. https://doi.org/10.1101/2024.05.14.24307386
Peer-reviewed articles
Lydeamore, M., Zachreson, C., Conway, E., Shearer, F. M., Baker, C. M., Ross, J. V., Miller, J., McCaw, J. M., Geard, N. L., McVernon, J., & Price, D. J. (2026). Border quarantine, vaccination and public health measures to mitigate the impact of COVID-19 importations in Australia: a modelling study. Journal of The Royal Society Interface, 23(235), 20250144. https://doi.org/10.1098/rsif.2025.0144
Tierney, N., Saraswati, C., Babu, A., Lydeamore, M., & Golding, N. (2026). conmat: generate synthetic contact matrices for a given age-stratified population. Journal of Open Source Software, 11(118), 8326. https://doi.org/10.21105/joss.08326
Nguyen, Q., Lydeamore, M. J., Dessauer, A., Snell, G. I., Westall, G. P., Peleg, A. Y., & Gardiner, B. J. (2026). Evaluation of Global Immune Biomarkers to Predict Infections in Lung Transplant Recipients. Clinical Transplantation, 40(8), e70654. https://doi.org/10.1111/ctr.70654
Le, T. P., Conway, E., Akpan, E., Abell, I. R., Abraham, P., Baker, C. M., Campbell, P. T., Cromer, D., Lydeamore, M. J., McDonough, Y., Mueller, I., Ryan, G., Walker, C., Wang, Y., Carvalho, N., & McVernon, J. (2025). Health impact and cost-effectiveness of COVID-19 booster vaccination strategies in the early post-Omicron era: a dynamic modelling study. BMJ Global Health, 10(9). https://doi.org/10.1136/bmjgh-2024-016096
Hao, T., Ryan, G. E., Lydeamore, M. J., Cromer, D., Wood, J. G., McVernon, J., McCaw, J. M., Shearer, F. M., & Golding, N. (2025). Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19. Vaccine, 55, 126987. https://doi.org/10.1016/j.vaccine.2025.126987
Lydeamore, M. J., Wu, D., Donker, T., Gorrie, C., Higgs, C. K., Easton, M., Hennessy, D., Geard, N., Howden, B. P., Cooper, B. S., Wilson, A., Peleg, A. Y., & Stewardson, A. J. (2024). Changes in isolation guidelines for CPE patients results in only mild reduction in required hospital beds. Infection, Disease & Health. https://doi.org/10.1016/j.idh.2024.10.004
Lydeamore, M. J., Donker, T., Wu, D., Gorrie, C., Turner, A., Easton, M., Hennessy, D., Geard, N., Howden, B. P., Cooper, B. S., Wilson, A., Peleg, A. Y., & Stewardson, A. J. (2024). Carbapenemase-producing enterobacterales colonisation status does not lead to more frequent admissions: a linked patient study. Antimicrobial Resistance & Infection Control, 13(1), 82. https://doi.org/10.1186/s13756-024-01437-x
Shearer, F. M., Edwards, L., Kirk, M., Eales, O., Golding, N., Hassall, J., Liu, B., Lydeamore, M., Miller, C., Moss, R., Price, D. J., Ryan, G. E., Sheena, S., Tobin, R., Ward, K., Kaldor, J., Cheng, A. C., Wood, J., & McCaw, J. M. (2024). Opportunities to strengthen respiratory virus surveillance systems in Australia: lessons learned from the COVID-19 response. Communicable Diseases Intelligence, 48. https://doi.org/10.33321/cdi.2024.48.47
Shearer, F. M., McCaw, J. M., Ryan, G. E., Hao, T., Tierney, N. J., Lydeamore, M. J., Wu, L., Ward, K., Ellis, S., Wood, J., McVernon, J., & Golding, N. (2024). Estimating the impact of test–trace–isolate–quarantine systems on SARS-CoV-2 transmission in Australia. Epidemics, 47, 100764. https://doi.org/10.1016/j.epidem.2024.100764
Le, T. P., Abell, I., Conway, E., Campbell, P. T., Hogan, A. B., Lydeamore, M. J., McVernon, J., Mueller, I., Walker, C. R., & Baker, C. M. (2024). Modelling the impact of hybrid immunity on future COVID-19 epidemic waves. BMC Infectious Diseases, 24(1), 407. https://doi.org/10.1186/s12879-024-09282-4
Conway, E., Walker, C. R., Baker, C., Lydeamore, M. J., Ryan, G. E., Campbell, T., Miller, J. C., Rebuli, N., Yeung, M., Kabashima, G., Geard, N., Wood, J., McCaw, J. M., McVernon, J., Golding, N., Price, D. J., & Shearer, F. M. (2023). COVID-19 vaccine coverage targets to inform reopening plans in a low incidence setting. Proceedings of the Royal Society B: Biological Sciences, 290(2005), 20231437. https://doi.org/10.1098/rspb.2023.1437
Mitchell, B. G., Stewardson, A. J., Kerr, L., Ferguson, J. K., Curtis, S., Busija, L., Lydeamore, M. J., Graham, K., & Russo, P. L. (2023). The incidence of nosocomial bloodstream infection and urinary tract infection in Australian hospitals before and during the COVID-19 pandemic: an interrupted time series study. Antimicrobial Resistance & Infection Control, 12(1), 61. https://doi.org/10.1186/s13756-023-01268-2
Zachreson, C., Shearer, F. M., Price, D. J., Lydeamore, M. J., McVernon, J., McCaw, J., & Geard, N. (2022). COVID-19 in low-tolerance border quarantine systems: Impact of the Delta variant of SARS-CoV-2. Science Advances, 8(14), eabm3624. https://doi.org/10.1126/sciadv.abm3624
Lydeamore, M. J., Mitchell, B. G., Bucknall, T., Cheng, A. C., Russo, P. L., & Stewardson, A. J. (2022). Burden of five healthcare associated infections in Australia. Antimicrobial Resistance & Infection Control, 11(1), 69. https://doi.org/10.1186/s13756-022-01109-8
Trauer, J. M., Lydeamore, M. J., Dalton, G. W., Pilcher, D., Meehan, M. T., McBryde, E. S., Cheng, A. C., Sutton, B., & Ragonnet, R. (2021). Understanding how Victoria, Australia gained control of its second COVID-19 wave. Nature Communications, 12(1), 6266. https://doi.org/10.1038/s41467-021-26558-4
McMahon, J. H., Lydeamore, M. J., & Stewardson, A. J. (2021). Bringing evidence from press release to the clinic in the era of COVID-19. Journal of Antimicrobial Chemotherapy, 76(3), 547–549. https://doi.org/10.1093/jac/dkaa506
Zachreson, C., Mitchell, L., Lydeamore, M. J., Rebuli, N., Tomko, M., & Geard, N. (2021). Risk mapping for COVID-19 outbreaks in Australia using mobility data. Journal of The Royal Society Interface, 18(174), 20200657. https://doi.org/10.1098/rsif.2020.0657
Sullivan, S. G., Brotherton, J. M., Lynch, B. M., Cheung, A., Lydeamore, M., Stevenson, M., Firestone, S., Canevari, J., Nguyen, H. N. J., & Carville, K. S. (2021). Population-based analysis of the epidemiological features of COVID-19 epidemics in Victoria, Australia, January 2020-March 2021, and their suppression through comprehensive control strategies. Lancet Regional Health - Western Pacific, 17.
Lydeamore, M. J. (2021). Mathematical models to support Victoria’s COVID-19 response: a blunt instrument to a complex problem. Journal of the Australian Mathematical Society. https://austms.org.au/wp-content/uploads/2021/07/Lydeamore.pdf
Lydeamore, M. J., Campbell, P. T., Price, D. J., Wu, Y., Marcato, A. J., Cuningham, W., Carapetis, J. R., Andrews, R. M., McDonald, M. I., McVernon, J., Tong, S. Y. C., & McCaw, J. M. (2020). Estimation of the force of infection and infectious period of skin sores in remote Australian communities using interval-censored data. PLOS Computational Biology, 16(10), e1007838. https://doi.org/10.1371/journal.pcbi.1007838
Software
R packages
blockstrap
Sample dataframes by group, in the form of a ‘block bootstrap’. Entire groups are returned allowing for a single ‘observation’ to span multiple rows of the dataframe.
Coauthors: Michael Lydeamore, Cash Looi, Kenyon Ng, Mitchell O’Hara-Wild
cardinalR
A collection of functions to generate a large variety of structures in high dimensions. These data structures are useful for testing, validating, and improving algorithms used in dimensionality reduction, clustering, machine learning, and visualization.
Coauthors: Jayani P. Gamage, Dianne Cook, Paul Harrison, Michael Lydeamore, Thiyanga S. Talagala
condensr
Helps automate ‘Quarto’ website creation for small academic groups. Builds a database-like structure of people, projects and publications, linking them together with a string-based ID system. Then, provides functions to automate production of clean markdown for these structures, and in-built CSS formatting using CSS flexbox.
Coauthors: Michael Lydeamore
HospitalNetwork
Set of tools to help interested researchers to build hospital networks from data on hospitalized patients transferred between hospitals. Methods provided have been used in Donker T, Wallinga J, Grundmann H. (2010) doi:10.1371/journal.pcbi.1000715, and Nekkab N, Crépey P, Astagneau P, Opatowski L, Temime L. (2020) doi:10.1038/s41598-020-71212-6.
Coauthors: Pascal Crépey, Tjibbe Donker, Clément Massonnaud, Michael Lydeamore
mapycusmaximus
Focus-glue-context (FGC) fisheye transformations to two-dimensional coordinates and spatial vector geometries. Implements a smooth radial distortion that enlarges a focal region, transitions through a glue ring, and preserves outside context. Methods build on generalized fisheye views and focus+context mapping. For more details see Furnas (1986) doi:10.1145/22339.22342, Furnas (2006) doi:10.1145/1124772.1124921 and Yamamoto et al. (2009) doi:10.1145/1653771.1653788.
Coauthors: Alex Nguyen, Dianne Cook, Michael Lydeamore
quollr
To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.
Coauthors: Jayani P. Gamage, Dianne Cook, Paul Harrison, Michael Lydeamore, Thiyanga S. Talagala
spiderorchid
Download and wrangle publication data for Monash EBS academic staff
Coauthors: Rob Hyndman, Michael Lydeamore, Sherry Tee, Parnika Khattri
VS Code extensions
Code Comment Viewer
Show all HTML comments in the current file in a sidebar and highlight them in the editor.
Version 0.1.3
Collab Comments
Track comments with author and timestamp for QMD and other files
Version 1.1.0
Comment Tracker
Track comments with author and timestamp for QMD and other files
Version 1.0.0
Quarto: Open Rendered File
Open an existing rendered output for a Quarto document without rendering it again.
Version 1.1.2
Funding
Almost all of this funding was obtained in partnership with large, collaborative teams.
SPARKLE
Department of Foreign Affairs and Trade
Awarded value: $5,000,000
2024
SHIELD: Surveillance of Healthcare-associated Infections for Effective Local Data
NHMRC
Awarded value: $2,000,000
2025
Modelling Work in Low and Middle Income Counties in the Western Pacific Region for the COVID-19 SAGE Working Group
World Health Organisation
Awarded value: $8,157
2024
Modelling To Support Australia’s Resilience to and Preparedness for Omicron And Future Sars-Cov-2 Variants
Commonwealth Government of Australia
Awarded value: $80,059
2024
Contractual Partner to Conduct Research on Healthcare-Associated Infection Rates in Phillippine Hospitals
World Health Organisation Phillippines
Awarded value: $72,078
2023
Centre of Western Public Health Unit
Contract Research
Awarded value: $25,000
2023
Extending and comparing methods for projecting social contact matrices
SPECTRUM/SPARK Seed Funding
Awarded value: $19,438
2022
Quantifying longitudinal relationships between community mobility and COVID-19 case incidence in west metropolitan Melbourne
SPECTRUM/SPARK Seed Funding
Awarded value: $19,896
2022
Modelling to support Australia’s national plan for COVID-19
Commonwealth Government of Australia
Awarded value: $147,536
2021
Modelling to support Australia’s transition to ‘COVID-normal’
Australian Office of Health Protection
Awarded value: $25,620
2021
Conference presentations and contributed talks
Gamifying data visualisation: Teaching ggplot2 through competitive code golf
International Congress on Teaching Statistics
2026
Gamifying data visualisation: Teaching ggplot2 through competitive code golf
useR! Conference
2026
Gamifying data visualisation: Teaching ggplot2 through competitive code golf
Australia and New Zealand Industrial Applied Mathematics Conference
2026
Modelling chytridiomycosis transmission in frogs
Australia and New Zealand Industrial Applied Mathematics Conference
2025
airpurifyr: Open Air Quality Data in R
WOMBAT Annual Meeting: Open the world with open source
2024
Networks of networks in infectious diseases modelling - Panelist
Infectious Diseases Modelling Conference
2024
Generating synthetic contact matrices using open-source data
Australia and New Zealand Industrial Applied Mathematics Conference
2024
Data-Driven Insights into Healthcare Challenges: Two Case Studies - Invited Speaker
Universitätsklinikum Freiburg Seminar Series
2023
Data-Driven Insights into Healthcare Challenges: Two Case Studies
UNSW Australia Statistics & Data Science Seminar
2023
Burden of healthcare associated infections in Australia
Australia and New Zealand Industrial Applied Mathematics Conference
2022
Exponential Random Graph Models and CPE transmission - Invited Speaker
Melbourne Mathematical Biology Seminar Series
2021
Mathematical modelling for COVID-19 in Victoria, Australia - Invited Speaker
Math for Industry Forum, Vietnam
2021
The associations between transmission of CPE and ward connectivity: a network analysis
Australasian Society for Infectious Diseases Annual Scientific Meeting
2021
The burden of healthcare acquired infections in Australian public hospitals
Australasian Society for Infectious Diseases Annual Scientific Meeting
2021
Decision Making and Mathematical Biology - Victoria’s usage of COVID-19 modelling - Invited Speaker
Mathematical Biology Special Interest Group Workshop
2021
Modelling between-household effective contact and the elimination of COVID-19 in Melbourne, Australia
Australia and New Zealand Industrial Applied Mathematics Conference
2021
Mathematical modelling and Victoria’s response to COVID-19 - Invited Speaker
Victorian ANZIAM Branch Meeting
2020
Australia’s experience and the role of modelling in its responses to COVID-19 - Invited Speaker
Usher Institute COVID-19 Webinar
2020
Estimating epidemiological quantities for skin sores in remote Australian communities using interval-censored data
Australia and New Zealand Industrial Applied Mathematics Conference
2019
Estimating epidemiological quantities for skin sores in remote Australian communities using interval-censored data
NSW-ACT ANZIAM Branch Meeting
2018
Coupled models of Group A Streptococcus and Scabies: How likely is eradication?
PRISM International Conference
2018
Investigating the dynamics of coupled epidemiological transmission models with application to Group A Streptococcus and Scabies
Society for Mathematical Biology Annual Meeting
2018
Investigating the dynamics of coupled models with applications to Group A Streptococcus and Scabies
Australia and New Zealand Industrial Applied Mathematics Conference
2018
Quantifying the age of first infection with skin sores in five remote Australian Aboriginal communities
Lancefield International Symposium on Streptococci and Streptococcal Diseases
2017
Investigating the dynamics of coupled models with applications to Group A Streptococcus and Scabies
PRISM Annual Knowledge Transfer and Training Conference
2017
Constructing mathematical models of Group A Streptococcus and Scabies in remote Australian Indigenous communities - Invited Speaker
Zeeman Institute Seminar Series
2017
Developing a model for the transmission and treatment dynamics of scabies infections a high prevalence setting
Melbourne-Manchester Joint Workshop
2017
Developing a model for the transmission of Group A Streptococcus
Australia and New Zealand Industrial Applied Mathematics Conference
2017
Determining the age of first infection from incomplete data
Modelling Emerging Infections and Neglected Tropical Diseases Workshop
2016
Investigating Intervention Intervals for Scabies Infections
Australia and New Zealand Industrial Applied Mathematics Conference
2016
Teaching
Lecturer
[ETC5513] Reproducible and Collaborative practices - Chief Examiner
2024-
[ETC5523] Communicating with Data - Chief Examiner
2023-
[ETO5513] Reproducible and Collaborative practices - Chief Examiner
2024-
[ETC5512] Wild-Caught Data
2022-2023
[ETC5521] Exploratory Data Analysis
2022
Tutor
[MAST10016] Mathematics for Biomedicine
2016-2019
[MAST30001] Stochastic Modelling
2018
Teaching Service
[M6036] Masters of Health Data Analytics - Course Management Committee
2024-
Awards
Fellow of the Higher Education Academy
2024
SPECTRUM Annual Meeting - Best Presentation
2024
University of Melbourne Faculty of Engineering and Information Technology Excellence Award in Interdisciplinary Research
2021
IPAA Spirit of Service Awards - Finalist
2021
Engagement Australia Excellence Awards - Outstanding Engagement for Research Impact - Finalist
2021
Top Poster Award - European Congress of Clinical Microbiology & Infectious Diseases
2021
IPAA Victoria Leadership in the Public Sector Awards - Finalist
2021
Best PhD Student Presentation - PRISM² Annual Conference
2017
Applied Probability Trust Prize - for best Applied Mathematics Postgraduate Thesis
2016
Australian Postgraduate Award
2015
Dean’s Commendation for Thesis Excellence
2015
Academic Service & Community Engagement
Equity Diversity & Social Inclusion Committee
Department representative
2024-
International Conference on Prevention and Infection Control
Abstract Reviewer
2025
SPECTRUM Annual Meeting
Organising committee
2024
SPARK Short Course in Mathematical Diseases Modelling - OUCRU
Facilitator
2023
International Conference on Prevention and Infection Control
Abstract Reviewer
2023
Maths in Industry Study Group - NSW Health
Moderator
2023
WOMBAT Communicating with Data Workshop
Organising Committee
2023
Australian and New Zealand Industrial and Applied Mathematics Executive Committee
Treasurer
2022-
Australian and New Zealand Industrial and Applied Mathematics Executive Committee
Early Career Representative
2021-2022
SPECTRUM-SPARK Early Career Researcher Committee
Chair
2022-
SPARK Short Course in Mathematical Diseases Modelling - Mahidol University
Facilitator
2022
Research Tools Workshop in R
Facilitator
2022
Mathematical Biology Special Interest Group
Treasurer
2019-2022
ANZIAM 2021 Conference
Organising Committee (Treasurer)
2020-2021
Computational Biology Research Initiative - The University of Melbourne
Postgraduate Representative
2017
Computational Biology Postgraduate Sports Group - The University of Melbourne
Secretary
2017-2018
Maths in Industry Study Group
Participant
2017, 2018, 2019
The ConocoPhillips Science Experience - The University of Melbourne
Activity Organiser
2016-2018
Mathematicians in Schools - CSIRO
Project Supervisor/Mentor
2016-2018
Reviewer
PLoS Computational Biology; Scientific Reports; Journal of Applied Mathematics; Journal of Statistical Software; Epidemiology & Infection; Mathematics; Medical Journal of Australia; International Tropical Health; Journal of Antimicrobial Resistance; The R Journal
Professional Memberships
Australian and New Zealand Industrial and Applied Mathematics
Including the Mathematical Biology Special Interest Group
2015-
Australian Mathematics Society
2015-
Statistical Society of Australia
2024-