Dr Meagan Carney

Dr Meagan Carney is a Senior Lecturer in the School of Mathematics and Physics at The University of Queensland. Her research interests include applied mathematics, statistics, probability, and data science. Dr Carney's work focuses on modeling extreme events, dynamical systems, and data-driven approaches to understand complex phenomena. She has contributed to various publications in journals such as Environmental and Ecological Statistics, Nature Microbiology, and the Journal of Theoretical Biology. Her research spans topics including climate extremes, infectious diseases, and statistical modeling.

Meagan Carney is a researcher at the University of Queensland with expertise in Probability and Statistics, Extreme Value Theory, Dynamical Systems, Computational Mathematics, and Ergodic Theory. Her work explores the intersection of these fields, particularly in analyzing extreme events and their implications in complex systems. She has published on topics such as nonstationarity of temperature extremes, hurricane simulation, and extremal indices for level set observables on hyperbolic systems. Her research also extends to applications in public health, including the analysis of SARS-CoV-2-related cardiovascular symptoms and host transcriptomics in COVID-19 patients. Carney's contributions emphasize the use of computational methods and statistical modeling to understand and predict rare and extreme phenomena.