Biography

Adam Dunn (PhD, 2007) is Professor of Biomedical Informatics at the University of Sydney. He established the Discipline of Biomedical Informatics and Digital Health in the School of Medical Sciences at the University of Sydney in 2020. 

His main research interest is in applications of artificial intelligence in health. This includes clinical applications of machine learning using data from electronic medical records, public health applications of machine learning using data from the community and the online information they engage with, and clinical research applications of machine learning using data from and about clinical trials.

He has led or co-led research projects funded by the NHMRC, AHRQ, NLM/NIH, and WHO. He holds or has held senior editorial roles with a range of research methods and medical informatics journals and applied computer science conferences.

Current key roles

Theme Lead (cf. Head of Department) for Biomedical Informatics and Digital Health in the School of Medical Sciences, Faculty of Medicine and Health, the University of Sydney, Sydney, Australia.

Memberships

• Fellow of the Australasian Institute of Digital Health
• Member of the Society for Research Synthesis Methodology

Major current and past projects:

• NLM R01 (R01LM012976; 2019-2024) “Coupling results data from ClinicalTrials.gov and bibliographic databases to accelerate evidence synthesis”
• WHO Infodemic Management (2021-2023) “Developing a toolkit for capturing online and offline information diets in ways that vary in granularity and participant effort”
• NHMRC Project (APP1128968; 2017-2020) “Monitoring the gap between evidence and vaccination behaviour by sampling the location-specific consumption of health information from news and social media”
• AHRQ R03 (HS024798-0; 2016-2017) “Developing Methods to Improve Systematic Reviews Using Clinical Trial Registries”
• NHMRC Project (APP1045065; 2013-2015) “Using collaboration networks to measure bias and inefficiency in the production and translation of evidence about cardiovascular risk”

Affiliation history

• Biomedical Informatics and Digital Health, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney (2020 – present)
• Visiting Academic, Department of Primary Care Medicine, Faculty of Medicine, University of Malaya (2018, 2019, 2022, 2023)
• Affiliate Faculty (2018 – present) with the Computational Health Informatics Program, Boston Children’s Hospital, Boston, United States.
• Centre for Health Informatics at UNSW (2008-2014) and then Macquarie University (2014-2020)
• International Alcoa Foundation Conservation & Sustainability Fellow at Curtin University  (2006-2008)
• Undergraduate training (1999-2002) and PhD (2003-2006) at The University of Western Australia

Selected panels, committees, working groups, and other organisational units:

• Co-Chair, Health Informatics Conference for the Australasian Institute of Digital Health (2024)
• Convener, Digital Health and Informatics Network, Faculty of Medicine and Health, the University of Sydney (2022-2024)
• Membership Committee (2022-) and Interim Trustee (2023), Society for Research Synthesis Methodology (2018-)
• The International Prospective Register of Systematic Reviews (PROSPERO) Advisory Group (2022-)
• Co-Chair, Research Enabler for Data and Informatics, Kolling Institute (2023-)
• Medical Research Future Fund 2021 Primary Healthcare Digital Innovations Grant Review Panel (2022)
• Macquarie University Academic Senate (2019-2020)
• Macquarie University Fellowship Panel (2015, 2016, 2017) and Co-chair (2018, 2019)
• Macquarie University Research and Research Training Committee (2019-2021)
• Macquarie University Freedom of Speech, Inquiry & Assembly Working Group (2019)
• Macquarie University Research Enrichment Program Executive (2018-2019)

Contact

My email address adam.dunn [at] sydney.edu.au. If you are a prospective postgraduate student and haven’t been in contact with me before, please include specific details of the kinds of projects you want to work on in your first email and tell me that you saw this message here on my website so I know you are thoughtfully engaged in your study.

Citations are generally a bit more reliable at Google Scholar. My Erdős number is four.