معرفی
Nathan Lawler is a Lecturer at the Centre for Computational and Systems Medicine within the Health Futures Institute at Murdoch University, where he has contributed since joining the Australian National Phenome Centre in 2020. His research centers on high-throughput metabolite biomarker analysis for exercise physiology, human health, and performance using liquid chromatography-mass spectrometry and Nuclear Magnetic Resonance techniques.
His academic qualifications include:
- Doctor of Philosophy in Human & Sport Physiology and Metabolic Phenotyping from Murdoch University
- Bachelor's degree in Human Movement (Exercise Science) from the University of Tasmania (2006-2009)
Dr. Lawler's research spans Exercise Physiology, Metabolomics, and Computational Biology, with active projects in micro-sampling phenotyping, exercise performance metrics, fatigue mechanisms, female health applications, and frequency-dependent exercise impacts. His methodological expertise integrates analytical chemistry with data science for metabolic phenotyping.
He is a core member of the Australian National Phenome Centre and Centre for Computational and Systems Medicine, driving multidisciplinary teams in metabolic research applications.
His key recognition includes:
- Rising Star in Metabolomics Research (2024) - honoring influential early-to-mid-career contributions in Proteomics and Metabolomics
Prior to Murdoch, he advanced his metabolomics expertise at Edith Cowan University's Centre for Integrative Metabolomics and Computational Biology under Professors David Broadhurst and Mary Boyce.
