Jonathan Tuke qualified in 1992 from the University of Adelaide as a veterinary surgeon. After 9 years in general practice, he returned to university to study mathematics and computer science at the University of Adelaide. He completed a degree, then honours and finally a PhD in statistics in 2013. Since 2007 he has been a lecturer in statistics at the University of Adelaide. Along with this eclectic mix of applied statistical collaborations, his primary research interest is in developing statistical methods to model random networks.
This project combines large open datasets from social media with predictive machine learning models to predict social unrest events and monitor trends relevant to elections, both in Australia and abroad. The work is done in collaboration with researchers and software engineers from Data to Decisions CRC.
In this project we develop the necessary statistical techniques to analyze ancient DNA datasets to address important phylogenetic and population dynamic questions, such as the peopling of Australia and South America, and investigating the genetic diversity of Australia's endemic marsupials.