Heidi Jane Welberry

Dr. Heidi Jane Welberry is a Lecturer specializing in data science and biostatistics at the Centre for Big Data Research in Health and the Centre for Healthy Brain Ageing (CHeBA) at the University of New South Wales, Faculty of Medicine & Health. She collaborates extensively with Neuroscience Research Australia (NeuRa) on projects related to dementia prevention and care.

Dr. Welberry's research focuses on epidemiology, aged care, health services research, and biostatistics, with particular expertise in using large-scale administrative datasets for health services research. Her work addresses critical questions in dementia prevention, dementia care, aged care, primary care, and care transitions over time. She employs advanced data science techniques to quantify population risks for dementia and improve understanding of care pathways.

Her publication record includes 22 journal articles, 1 book chapter, 2 conference posters, 4 conference presentations, 9 conference abstracts, 2 reports, and 1 preprint. Her research demonstrates a strong trend toward using big data methodologies to address complex questions in dementia epidemiology and health services research, with increasing emphasis on machine learning approaches and cross-sectoral data linkage.

Dr. Welberry's scientific contributions focus on improving dementia care through evidence-based approaches, with particular attention to care transitions, regional disparities in care access, and early detection methods in primary care settings.

She works collaboratively across multiple research centers, bringing together expertise in data science, epidemiology, and clinical care to address pressing challenges in dementia prevention and care. Her work bridges the gap between complex data analysis and practical healthcare applications, aiming to translate research findings into improved care pathways and health outcomes for people with dementia.