Dr Meagan Carney
Dr

Meagan Carney

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Availability

Dr Meagan Carney is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, Institution to be confirmed

Research interests

  • Extreme Value Theory

  • Chaotic Dynamical Systems

  • Extreme Weather Events

  • Rare Event Analysis

  • Machine Learning

Search Professor Meagan Carney’s works on UQ eSpace

14 works between 2017 and 2024
All (14) Journal Article (12) Conference Publication (1) Other Outputs (1)

1 - 14 of 14 works

Featured

2024

Journal Article

Runs of extremes of observables on dynamical systems and applications

Carney, Meagan, Holland, Mark, Nicol, Matthew and Tran, Phuong (2024). Runs of extremes of observables on dynamical systems and applications. Physica D: Nonlinear Phenomena, 460 134093, 134093. doi: 10.1016/j.physd.2024.134093

Runs of extremes of observables on dynamical systems and applications

Featured

2022

Journal Article

Hurricane simulation and nonstationary extremal analysis for a changing climate

Carney, Meagan, Kantz, Holger and Nicol, Matthew (2022). Hurricane simulation and nonstationary extremal analysis for a changing climate. Journal of Applied Meteorology and Climatology, 61 (11), 1629-1642. doi: 10.1175/JAMC-D-22-0003.1

Hurricane simulation and nonstationary extremal analysis for a changing climate

Featured

2020

Journal Article

Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany

Carney, Meagan and Kantz, Holger (2020). Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany. Advances in Statistical Climatology, Meteorology and Oceanography, 6 (1) ascmo-6-61-2020, 61-77. doi: 10.5194/ascmo-6-61-2020

Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany

Featured

2020

Journal Article

Nonstationarity of summer temperature extremes in Texas

Carney, Meagan, Azencott, Robert and Nicol, Matthew (2020). Nonstationarity of summer temperature extremes in Texas. International Journal of Climatology, 40 (1), 620-640. doi: 10.1002/joc.6212

Nonstationarity of summer temperature extremes in Texas

2024

Journal Article

An analytical, numerical and experimental study of in-vitro SARS-CoV-2 evolution in Vero B4 cells

Nicol, Matthew, Sng, Julian D.J., Zhu, Yanshan, Sonnleitner, Sissy Therese, Short, Kirsty R. and Carney, Meagan (2024). An analytical, numerical and experimental study of in-vitro SARS-CoV-2 evolution in Vero B4 cells. Journal of Theoretical Biology, 598 112000, 112000. doi: 10.1016/j.jtbi.2024.112000

An analytical, numerical and experimental study of in-vitro SARS-CoV-2 evolution in Vero B4 cells

2024

Journal Article

Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function

Sinclair, Jane E., Vedelago, Courtney, Ryan, Feargal J., Carney, Meagan, Redd, Meredith A., Lynn, Miriam A., Grubor-Bauk, Branka, Cao, Yuanzhao, Henders, Anjali K., Chew, Keng Yih, Gilroy, Deborah, Greaves, Kim, Labzin, Larisa, Ziser, Laura, Ronacher, Katharina, Wallace, Leanne M., Zhang, Yiwen, Macauslane, Kyle, Ellis, Daniel J., Rao, Sudha, Burr, Lucy, Bain, Amanda, Karawita, Anjana, Schulz, Benjamin L., Li, Junrong, Lynn, David J., Palpant, Nathan, Wuethrich, Alain, Trau, Matt and Short, Kirsty R. (2024). Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function. Nature Microbiology, 9 (12), 1-13. doi: 10.1038/s41564-024-01838-z

Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function

2024

Other Outputs

Supporting code for measurement of serum 1,5AG

Carney, Meagan (2024). Supporting code for measurement of serum 1,5AG. The University of Queensland. (Dataset) doi: 10.48610/d582ee0

Supporting code for measurement of serum 1,5AG

2024

Journal Article

Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study

Carney, Meagan, Pelaia, Tiana Maria, Chew, Tracy, Teoh, Sally, Phu, Amy, Kim, Karan, Wang, Ya, Iredell, Jonathan, Zerbib, Yoann, McLean, Anthony, Schughart, Klaus, Tang, Benjamin, Shojaei, Maryam, Short, Kirsty R, PREDICT-19 consortium and Kulasinghe, Arutha (PREDICT-19 consortium member) (2024). Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study. The Lancet Microbe, 5 (3), e272-e281. doi: 10.1016/S2666-5247(23)00363-4

Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study

2023

Journal Article

Elevated BMI reduces the humoral response to SARS‐CoV‐2 infection

Tong, Marcus Z. W., Sng, Julian D. J., Carney, Meagan, Cooper, Lucy, Brown, Samuel, Lineburg, Katie E., Chew, Keng Yih, Collins, Neve, Ignacio, Kirsten, Airey, Megan, Burr, Lucy, Joyce, Briony A., Jayasinghe, Dhilshan, McMillan, Christopher L. D., Muller, David A., Adhikari, Anurag, Gallo, Linda A., Dorey, Emily S., Barrett, Helen L., Gras, Stephanie, Smith, Corey, Good‐Jacobson, Kim and Short, Kirsty R. (2023). Elevated BMI reduces the humoral response to SARS‐CoV‐2 infection. Clinical and Translational Immunology, 12 (12) e1476, 1-13. doi: 10.1002/cti2.1476

Elevated BMI reduces the humoral response to SARS‐CoV‐2 infection

2023

Journal Article

Blood transcriptome responses in patients correlate with severity of COVID-19 disease

Wang, Ya, Schughart, Klaus, Pelaia, Tiana Maria, Chew, Tracy, Kim, Karan, Karvunidis, Thomas, Knippenberg, Ben, Teoh, Sally, Phu, Amy L., Short, Kirsty R., Iredell, Jonathan, Thevarajan, Irani, Audsley, Jennifer, Macdonald, Stephen, Burcham, Jonathon, McLean, Anthony, Tang, Benjamin, Shojaei, Maryam, PREDICT-19 consortium, Kulasinghe, Arutha and Carney, Meagan E. (2023). Blood transcriptome responses in patients correlate with severity of COVID-19 disease. Frontiers in Immunology, 13 1043219, 1-18. doi: 10.3389/fimmu.2022.1043219

Blood transcriptome responses in patients correlate with severity of COVID-19 disease

2021

Journal Article

Extremes and extremal indices for level set observables on hyperbolic systems

Carney, Meagan, Holland, Mark and Nicol, Matthew (2021). Extremes and extremal indices for level set observables on hyperbolic systems. Nonlinearity, 34 (2), 1136-1167. doi: 10.1088/1361-6544/abd85f

Extremes and extremal indices for level set observables on hyperbolic systems

2020

Conference Publication

Analysis and simulation of extremes and rare events in complex systems

Carney, Meagan, Kantz, Holger and Nicol, Matthew (2020). Analysis and simulation of extremes and rare events in complex systems. Advances in Dynamics, Optimization and Computation SON 2020, Paderborn, Germany, 28 September - 2 October 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-51264-4_7

Analysis and simulation of extremes and rare events in complex systems

2017

Journal Article

Compound Poisson Law for Hitting Times to Periodic Orbits in Two-Dimensional Hyperbolic Systems

Carney, Meagan, Nicol, Matthew and Zhang, Hong-Kun (2017). Compound Poisson Law for Hitting Times to Periodic Orbits in Two-Dimensional Hyperbolic Systems. Journal of Statistical Physics, 169 (4), 804-823. doi: 10.1007/s10955-017-1893-9

Compound Poisson Law for Hitting Times to Periodic Orbits in Two-Dimensional Hyperbolic Systems

2017

Journal Article

Dynamical Borel-Cantelli lemmas and rates of growth of Birkhoff sums of non-integrable observables on chaotic dynamical systems

Carney, Meagan and Nicol, M. (2017). Dynamical Borel-Cantelli lemmas and rates of growth of Birkhoff sums of non-integrable observables on chaotic dynamical systems. Nonlinearity, 30 (7), 2854-2870. doi: 10.1088/1361-6544/aa72c2

Dynamical Borel-Cantelli lemmas and rates of growth of Birkhoff sums of non-integrable observables on chaotic dynamical systems

Current funding

  • 2024 - 2026
    Glycaemic variability: A culprit cause of heart disease in diabetes
    MRFF Targeted Translation Research Accelerator
    Open grant
  • 2024 - 2026
    ALL IN - AI and Laboratory Led IdentificatioN of PASC
    NHMRC MRFF Post-Acute Sequelae of COVID-19
    Open grant

Availability

Dr Meagan Carney is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Statistical Modelling of Extreme Weather Events in a Changing Climate

    Extremes in weather, such as tropical storms, wildfires, heatwaves, or large-scale floods can have massive societal and economic impacts from loss of property to loss of life. In this project, we seek answers to return times and magnitudes of extreme weather events in a region. We use a combination of extreme value theory, numerical global circulation models, classification algorithms, and real-world data to mathematically map out weather regions and form regional models of weather extremes. We also consider changes in the probabilities of these events under standard climate cycles and increased CO2 emission thresholds.

  • Rare Event Analysis and Machine Learning Applications to SARS-CoV-2

    This project has many available branches for exploration, utilising both unsupervised and supervised machine learning methods. We combine virology experimental data with cutting-edge statistical methods to answer questions ranging from early detection of SARS-CoV-2 infection to mutation paths and likelihoods.

Supervision history

Current supervision

Enquiries

Contact Dr Meagan Carney directly for media enquiries about:

  • extremes
  • machine learning
  • rare events

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