Biography
Dr. Kelly Trinh is a Research Scientist at Data61. Her expertise lies in Bayesian modelling, time-series, geospatial analysis and machine learning. She has developed advanced modelling techniques to enhance forecast accuracy, capture uncertainty, and analyze spatial and temporal dynamics. Her research has been published in journals such as Proceedings of the National Academy of Sciences (PNAS), Journal of Forecasting, Statistics in Medicine, and Economic Modelling.
With extensive experience in delivering strategic research for government and industry clients, Dr. Trinh has worked across a diverse range of fields, including the digital economy, agriculture, artificial intelligence, workforce development, transportation, and blockchain technology.
Methodology research
- Bayesian time series analysis
- Machine learning and deep learning for time series
- Spatial temporal and Geospatial analysis
- Modelling uncertainty
Applied research
- Economics
- Health
- Natural hazard
- Agriculture
- Social science
Fields of Research
Current Roles
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Research Scientist
Predictive Modelling, Forecasting, Modelling Uncertainty
Professional Experiences
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2019-2022
Lecturer in Data Science and Statistics
James Cook University
Grants
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2021-2022
Emergency Medicine Foundation (Brisbane, AU) Part of GRANT_NUMBER: EMJS-343R33-2020-STAIB