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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

Current Roles

  • Research Scientist
    Predictive Modelling, Forecasting, Modelling Uncertainty

Professional Experiences

  • 2019-2022

    Lecturer in Data Science and Statistics
    James Cook University

Grants

  • 2021-2022

    Emergency Medicine Foundation (Brisbane, AU) Part of GRANT_NUMBER: EMJS-343R33-2020-STAIB