Hi! I'm Andrew. I'm currently a research student at the Applied AI Institute within Deakin University, and have worked on projects in the areas of intelligent transport systems, GPS tracking data analysis, smart-homes, and defense simulation. My Ph.D. project is about the design of spatio-temporal data processing pipelines to analyse sport game strategies (submitting June '19).
I want to develop friendly, open source AI that can help organise the world and eliminate wasted resources.
The Intelligent Transport Systems Lab seeks to understand road traffic congestion and propose better ways to manage it. During one of my internships there, I designed a new visualisation approach called "Hub Map" that could better display the large number of traffic parameters collected about traffic network links than conventional graph visualisation approaches.
Read Paper View Demo
Data De-identification Portal
Deidentify.org is a tool I created to improve data de-identification practices and reduce risk of participant re-identification. It encourages the researcher to precisely specify their analysis and de-identification methods upfront, and increases transparency by giving the data custodian fine-grained control over which analyses are run.Read Paper View Demo Watch Presentation Slides
Selected Blog Posts
Visualisation Recommender Systems [VisualModel.org]
Archiving self-destructing Gmail messages with Firefox [GrokPrivacy.org]
Featured on BoingBoing
Prediction markets: How betting markets can be used to create a robust AI [Deakin.edu.au]
Re-shared by Richard Craib, founder Numerai
Let's team up
If your organisation shares my goal of developing and applying AI in ways that benefit society, then please contact me! We can achieve more when we come together and build on each other's work.
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