Dr Adam Dunn
Dr. Dunn is a Senior Research Fellow at the Centre for Health Informatics in the Faculty of Medicine and Health Sciences at Macquarie University. Adam’s research in clinical epidemiology involves applying network science, machine learning, and data mining to measure biases in published clinical trials and reviews that affect the quality of evidence-based medicine. His research in computational epidemiology is focused on the surveillance of information in online and news media and its impact on decision-making around public health interventions like vaccination.
His background and skills are in computer science (PhD 2007), postdoctoral experience in spatial modelling applications in landscape ecology (2007-2008), and health informatics, clinical epidemiology, and public health surveillance (2009-). For the last five years, he has been translating methods from network science and machine learning to solve problems in the translation of evidence into practice.
As the sole chief investigator of NHMRC Project Grant 1045065, Dr Dunn led the development and evaluation of methods that take advantage of new sources of data to measure biases that affect the reporting and synthesis of clinical evidence. In the past three years, he has also contributed technical expertise to the new technologies being developed within the Centre for Health Informatics (CHI) for the automation of systematic reviews. Both of these streams of research have resulted in influential peer-reviewed articles and strengthened CHI’s external collaborations, especially with the Computational Health Informatics Program (CHIP) at the Children’s Hospital Boston.
Qualifications: PhD (Computer Science, The University of Western Australia, 2007)
Address: Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University Level 6, 75 Talavera Road, North Ryde NSW 2113
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