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Ashley Quigley is a Senior Lecturer in the Medicine & Health faculty at the University of New South Wales, specializing in epidemiology and open-source intelligence. She leads the EPIWATCH team at the Kirby Institute's Biosecurity Program, focusing on harnessing artificial intelligence to capture early epidemic signals using open-source data for rapid epidemic detection and prevention of global spread. Quigley completed her PhD on 'Epidemiological Methods to Evaluate the Early Impact of the COVID-19 Pandemic' and has played a crucial role in providing insights to policymakers during the pandemic. Prior to her current role, she managed a clinical research organization in Australia, where she worked extensively on rapid diagnostic measures for infectious diseases, particularly extensively drug-resistant and multidrug-resistant tuberculosis. She holds a Bachelor of Science with Honours and a Master's degree from South Africa.
University of New South Wales • Sydney, Australia
Senior Lecturer in the Medicine & Health Faculty focusing on epidemiology and open-source data.
Kirby Institute's Biosecurity Program • Sydney, Australia
Lead for the EPIWATCH project, focusing on the use of AI for early epidemic detection.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.