Dr Paul Coddington

Dr Paul Coddington

Deputy Director

Dr Paul Coddington is Deputy Director of eRSA, where he has worked on eResearch projects, infrastructure and user engagement since 2002. He has also been involved with several national eResearch projects.  He has a PhD in computational physics and has over 25 years of experience in eResearch, including programming some of the earliest parallel computers and working on university research and development projects in high-performance and distributed computing, computational science and research data management.

  • “The supercomputing facilities at eResearch SA permit analysis of a host of interesting problems in evolutionary biology. It is the only computer system in SA that can perform certain complex calculations required to infer large evolutionary trees and associated patterns of evolution.”  
    Associate Professor Michael LeeSouth Australian Museum
  • “It would be impossible to do the type of research that we’re doing without them – it is a major factor in achieving our research outcomes.”  
    Associate Professor Con DoolanSchool of Mechanical Engineering, University of Adelaide
  • On using an eResearch program to complete 3D modelling of architectural records: “We were able to build an interactive, photo image model of the [historical South Australian property Joseph Elliot’s cottage] home – transforming simple sketches and floor plans into an interactive 3D experience... what we have now is a computerised model that allows us to experience the Elliott house beyond just words on paper”.
    Associate Professor Christine Garnaut
  • “Having access to greater computer power helps us put in place a more realistic model in terms of the number of atoms you can have in the system and that improves the predictive power of the calculations.”
    Professor Andrea GersonMinerals and Materials Science & Technology
  • "eResearch capabilities ... ensure we can continue to use the latest methods available in our field. The hope is that through the use of these technologies, we will be able to achieve some research outcomes that may otherwise not have been possible.”  
    Professor Ina Bornkessel-SchlesewskyCognitive Neuroscience, UniSA
  • “Open source intelligence is about extracting information from blogs, news sites and social media platforms, any information that can be freely accessed online. There’s way too much information out there for an individual or group of people to comprehend, so we have created automated tools to allow our users to extract the data they need...access to the latest technology allow[s] us to continue to provide the best platforms to our end-users.”
    David BlockowData to Decisions CRC

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