I am a Senior Research Fellow in the Centre for Health Informatics, in the Australian Institute of Health Innovation at Macquarie University, Sydney, Australia.
I work on data science applications in biomedical informatics. I spend some of my time measuring and trying to fix biases in clinical evidence, as it makes its way from clinical trials into the hands of policy-makers, clinicians, and the broader population. I also spend quite a bit of time using social media data to measure and model the ways that undesirable and poorly-evidenced opinions spread and persist in the public domain, and the impact that has on our beliefs, attitudes, decisions, and health behaviours.
I am known for my work on conflicts of interest in biomedical research, using machine learning and network science algorithms to create new methods in clinical epidemiology, and measuring spatiotemporal patterns between population-level health behaviours and population-level information diets.
I have been awarded grants as lead chief investigator from the NHMRC (in 2012 and 2016) and as a co-investigator from AHRQ (in 2016). I currently lead a team of seven people (three early-career researchers, a software developer, and three PhD students), in disciplines spanning epidemiology, public health, software engineering, data mining, machine learning, software development, journalism, and medicine.
Some of the other things that interest me outside of my day-to-day research include the dynamics of public opinion, the research of research, open access and open data, the motivations and aspirations of academics especially junior academics and minority groups, technology-driven activism and civil disobedience, and the mechanics of influence in research and public opinion. I also really like coffee.
A long time ago (2006-2008), I was an International Alcoa Foundation Conservation & Sustainability Fellow doing landscape ecology of invasive species and conservation, and before that I completed both my undergraduate training and PhD at The University of Western Australia (2007) in the suitably ambiguous area of complex systems and computational modelling formalisms, while modelling the spread of bushfires. My Erdős number is four.
To find out more
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 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.