Professor Graham Williams

Chief Scientist, Software Innovation Institute
College of Engineering & Computer Science

Areas of expertise

  • Pattern Recognition And Data Mining 080109
  • Artificial Intelligence And Image Processing 0801

Research interests

If interested in a PhD programme please share a demonstration of your work as published, for example, on a git repository. An mlhub package would be a great demonstration of your capabiities.

  • Democratising AI, Machine Learning, and Data Science (https://mlhub.ai);
  • Privacy and Data Analysis over massively distributed data (https://ecosysl.net);
  • Reasoning over Knowledge Graphs, entity resolution and link discovery;
  • Open source software for data science (https://rattle.togaware.com);
  • New Approaches to Teaching Data Science - Teaching Hospital

 

Biography

Graham leads teams of developers and researchers delivering innovative and cutting edge Data Science solutions utilising AI and Machine Learning to target important business use cases. He has a focus on developing technology for good and sharing through open source software practices.

Graham served in a number of senior roles across different sectors. With Microsoft Graham was Director of Data Science, mentoring developers and researchers and working across industries. As an executive with the Australian Taxation Office and the Whole of Government Data Analytics Centre of Excellence he guided government departments in setting up their Data Science capabilities. At the Commonwealth Scientific and Industrial Research Organisation (CSIRO) he initiated the first Data Mining research group in Australia. He is the author of books and open source software widely used in teaching.

Graham has a PhD in Computer Science (Machine Learning) from the ANU and BSc Hons (Maths) (First Class) University of Adelaide.


Publications

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Updated:  21 September 2021 / Responsible Officer:  Director (Research Services Division) / Page Contact:  Researchers