Dr David Heslop is an Associate Professor at the School of Population Health at UNSW Sydney, and a practicing vocationally registered General Practitioner (FRACGP), an Occupational and Environmental Physician (FAFOEM) with RACP.. He retains military responsibilities as Senior Medical Adviser for CBRNE to the Australian Army and to Australian Defence Force (ADF) leadership. During a military career of over 15 years he has deployed into a variety of complex and austere combat environments, and has advanced international training in Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) Medicine. He has experience in planning for and management of major disasters, mass casualty and multiple casualty situations. He is regularly consulted and participate in the development and review of national and international clinical and operational general military and CBRNE policy and doctrine. His research interests lie in health and medical systems innovation and research using computational modelling and simulation to address otherwise intractable problems.
My interests lie in health and medical systems innovation and research. I retain linkages with key national civilian and military education, research and development organisations and retain an active involvement in a wide variety of projects and initiatives supporting national public health preparedness goals.
My current research effort and interests touch on complexity science, agent based and deterministic modelling, emergent complex adaptive systems phenomena, test and evaluation of systems, policy research, epidemic modelling, exotic and emerging infections, disaster preparedness and response, organisational resilience in health care, development of robust socio-technical systems in health care, and the modelling, simulation and investigation of public health interventions and systems.
Methods that I utilise in my research are:
- Sociotechnical systems modeling and simulation
- Hybrid Modeling (Agent Based Modeling, Discrete Event Modeling, System Dynamics)
- Artificial intelligence and autonomous agents
- Qualitative and mixed methods
- Geospatial/GIS based approaches
My Research Supervision
Higher Degree (PhD) Candidates:
Medical Program Project Supervision: