Dr Trish Gilholm
Researcher biography
Dr Trish Gilholm is a dedicated data scientist, statistician and early-career researcher within the Children's Intensive Care Research Program, Child Health Research Centre. Her research focuses on the application of advanced statistical methods and machine learning techniques to paediatric critical care. With a PhD in Statistics from Queensland University of Technology, her research focuses on personalised predictive modelling to improve outcomes for critically ill children. Dr Gilholm has made significant contributions through her work on projects that include the evaluation of sepsis screening tools, the use of adaptive designs in paediatric critical care clinical trials, and machine learning models to predict long-term educational and developmental outcomes for PICU survivors.
Dr. Gilholm's work has been recognised with numerous awards, including the Executive Dean Commendation for Outstanding Doctoral Thesis Award and Best Oral Presentation at the 2022 and 2021 Children's Health Research Symposiums. She has published her work in leading journals including Intensive Care Medicine and Pediatric Critical Care Medicine. She is actively involved in mentoring, teaching, and supervision of research students.