Sean has contributed to the areas of data science and artificial intelligence research with particular applications in health services research, healthcare operations research, transportation, supply chain, energy and defence. Specific areas of interest in health services research include emergency medicine, prehospital emergency care, respiratory medicine, chronic kidney disease, diabetes, glaucoma, disease registries, data science infrastructure, diagnostic radiology, inpatient bed management, surgical and emergency department resource optimization and NLP for unstructured medical notes. His generic interest areas are in the resolution of epidemiological, quality/ service improvement and translational health services research problems leveraging on real-world data coupled with applied optimization and simulation techniques, statistical theory and machine learning (reinforcement and supervised/unsupervised learning).