Kelly Trinh

Kelly Trinh is an Adjunct Lecturer at James Cook University, specializing in statistical methodology and applied economics. Her research focuses on Bayesian time series analysis, machine learning, spatial analysis, and uncertainty modeling, with applications in macroeconomic forecasting, economic health, and healthcare systems.

Research Interests:

• Methodology: Bayesian statistics, dimension reduction, neural networks in time series, high-dimensional modeling, spatial point pattern analysis.
• Applied Research: Macroeconomic policy impacts, economic geography, healthcare resource optimization via real-time prediction systems.

Grants: Received AUD$36,733 from the Emergency Medicine Foundation for 'Emergency Department Waiting Time Prediction in Real-Time' (see project page).

No publications or awards listed in the provided materials. Collaborations involve interdisciplinary teams addressing healthcare operational challenges through advanced statistical techniques.