- From 1 January 2018, an Associate Professor in the Centre for Health Informatics, in the Australian Institute of Health Innovation at Macquarie University, Sydney, Australia.
- Data science applications in biomedical informatics, especially clinical research informatics and public health informatics.
- Machine learning and network science applications in clinical epidemiology, especially measuring and mitigating biases that affect the integrity of clinical trial research reporting and synthesis.
- Financial conflicts of interest and their disclosures in biomedical research.
- Spatiotemporal patterns of information flow in the public domain, especially the use of social media data to measure the spread and persistence of misinformation in the public domain.
- The association between population-level measures of information diets and the beliefs and attitudes that underpin decision-making and health behaviours.
- NHMRC Project (APP1128968; 2017-2019) “Monitoring the gap between evidence and vaccination behaviour by sampling the location-specific consumption of health information from news and social media.”. Role: lead chief investigator (1 of 2 CIs).
- AHRQ R03 (HS024798-0; 2016-2017) “Developing Methods to Improve Systematic Reviews Using Clinical Trial Registries”; Role: co-investigator (1 of 3 investigators).
- NHMRC Project (APP1045065; 2013-2015) “Using collaboration networks to measure bias and inefficiency in the production and translation of evidence about cardiovascular risk ” Role: as lead chief investigator (sole CI).
- Centre for Health Informatics at UNSW and then Macquarie University (2008-).
- International Alcoa Foundation Conservation & Sustainability Fellow at Curtin University (2006-2008); landscape ecology of invasive species.
- Undergraduate training and PhD (2007) at The University of Western Australia in the suitably ambiguous area of complex systems and computational modelling formalisms, while modelling the spread of bushfires.
On this website, I keep an up-to-date list of my published articles, along with media mentions, the talks I give, and the peer review and editorial work that I do. Because I work across several disciplines, citations to my work are generally most reliable at Google Scholar. My Erdős number is four. My email address is [something].[something]@mq.edu.au, just replace the two somethings with adam and dunn. If you want to get in contact with me fast, it’s probably best to tweet me at @adamgdunn.