About
My research focuses on predicting and modelling extremes and rare events in a variety of physical systems. I combine extreme value theory, dynamical systems, and machine learning to tackle problems in climate science, infectious disease, and biomedical research.
I completed my PhD in Mathematics at the University of Houston under the supervision of Professor Matthew Nicol, where my thesis investigated the statistical properties of certain chaotic dynamical systems through extremes and recurrence. Following my doctorate, I held a postdoctoral research position at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, working with Professor Holger Kantz.
At UQ, I hold a joint appointment as Senior Lecturer in the School of Mathematics and Physics and Affiliate Senior Lecturer in the School of Chemistry and Molecular Biosciences. I work closely with the Short Lab (Dr. Kirsty Short), applying extreme event analysis to infectious disease research.
Research Highlights
Extreme Value Theory for Dynamical Systems
Establishing statistical properties of maxima in ergodic dynamical systems with physically meaningful observables relevant to climate science.
Rare Event Analysis & ML for SARS-CoV-2
Applying extreme event analysis and machine learning to infectious disease, including host transcriptomics for bacterial co-infections in COVID-19 patients.
Extreme Weather in a Changing Climate
Developing regional extreme weather models using extreme value theory, global circulation models, and real-world data across Australia, Texas, and Germany.
Recent Publications
Teaching
Professional Service
- Mathematics Academic Supervisor, SMP Summer Industry Internship Program
- School of Mathematics and Physics Integrity Board member
- Co-organiser & Webmaster, ANZIAM 2023 Conference (Cairns)
- AMSI 2022 Summer School supervisor
- 15+ conference presentations at international venues including Marseille, San Francisco, Vancouver, and Vienna