Rate My Professor Nathan Lawler

Nathan Lawler is a Lecturer in the Centre for Computational and Systems Medicine at the Health Futures Institute, Murdoch University. He holds a PhD and a BSc (Honours) in Exercise Science from Murdoch University, where he completed his doctoral research in 2018 with the thesis titled 'True Blood – Understanding the impact of reduced oxygen carrying capacity using a physiological, haematological and metabolomics perspective'. Following his honours degree, Lawler undertook his PhD in Exercise and Sport Science, employing metabolic phenotyping methodologies. His academic career includes affiliations with the Australian National Phenome Centre and Jeremy K. Nicholson's laboratory. Lawler's expertise spans human physiology, exercise physiology, exercise science, metabolomics, chromatography, human performance, sport physiology, and exercise testing.

Lawler's research focuses on the development and application of mass spectrometry methods to measure metabolites in clinical and human performance studies, discovering novel markers linked to exercise performance and health. Key publications include 'Carbohydrate restriction drives greater perturbations in circulating metabolites than low energy availability in elite male athletes' (2026), 'Acute metabolite responses to swimming exercise of different intensities in highly trained male and female swimmers' (2025), 'Effects of short‐term exercise on plasma metabolic and lipidomic profiles of individuals with type 2 diabetes' (2025), 'Dried Blood Spot Microsampling: A Semi-Quantitative 4D-Lipidomics Approach Using Ultrahigh-Performance Liquid Chromatography - High-Resolution Mass Spectrometry (UHPLC - HRMS)' (2025), 'Exercise responses to perceptually regulated high intensity interval exercise with continuous and intermittent hypoxia in inactive overweight individuals' (2025), and 'Rapid and Self-Administrable Capillary Blood Microsampling Demonstrates Statistical Equivalence with Standard Venous Collections in NMR-Based Lipoprotein Analysis' published in Analytical Chemistry (2024). These contributions advance microsampling for lipoprotein analysis, metabolic phenotyping for cardiovascular risk, and exercise-induced metabolic responses. Lawler supervises PhD students on microsampling-based metabolic phenotyping and high-intensity interval exercise in hypoxia. His work has received over 1,193 citations on ResearchGate.