معرفی
David Broadhurst is Professor of Data Science & Biostatistics at Edith Cowan University's School of Science. With a background in Electronic Engineering, Medical Informatics, and Metabolomics, he has over 20 years of experience in systems biology, machine learning, and translational medicine. His career spans institutions including the University of Wales, University of Manchester, Cork University Maternity Hospital, and University of Alberta.
His educational credentials include a PhD in Metabolic Profiling from Wales (1998), MSc in Medical Informatics from England (1993), and BEng in Electronic Engineering from England (1992).
Research interests focus on integrative metabolomics and computational biology. Key themes include multi-omics data fusion, personalized population stratification through evolutionary computation, artificial neural networks for biomarker discovery, and data visualization techniques. Recent projects address precision medicine applications in pregnancy disorders, respiratory conditions, and critical care.
The 15 most recent publications highlight metabolomic approaches to precision medicine, asthma phenotyping, probiotic therapy validation, and methodological advancements in LC-MS and NMR metabolomics. Articles emphasize interdisciplinary collaboration, clinical translation, and machine learning integration for multi-omic analysis.
As Director of the International Metabolomics Society, he leads community initiatives for metabolomic epidemiology standards and quality assurance protocols. Supervision roles include PhD and Master's students in metabolomic profiling of gut microbiome and kidney disease biomarkers.
Research funding encompasses grants for asthma prediction systems (2023-2025), prostate cancer microbiome studies (2018-2024), and infrastructure development for metabolic phenotyping. His work bridges computational methods with clinical applications across maternal health, respiratory disease, and critical care medicine.
