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Dr Meagan Carney

Lecturer

School of Mathematics and Physics
Faculty of Science
m.carney@uq.edu.au

Overview

Research Interests

  • Extreme Value Theory
  • Chaotic Dynamical Systems
  • Extreme Weather Events
  • Rare Event Analysis
  • Machine Learning

Qualifications

  • Doctor of Philosophy, Houston

Publications

View all Publications

Supervision

  • Statistical Models of Extreme Weather Events in a Changing Climate

    Doctor Philosophy

  • Global stability of chaotic random dynamical systems

    Doctor Philosophy

  • Random Dynamical Systems, Transfer Operators and Stability

    Doctor Philosophy

View all Supervision

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.

View all Available Projects

Publications

Featured Publications

Journal Article

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

PhD and MPhil Supervision

Current Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • 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.

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Links

ORCID: 0000-0003-0850-0766

Scopus ID: 57117391000

Personal Profile: Link

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