Professor Graham Williams is a Data Scientist with development, research, and teaching experience spanning four decades. He leads teams delivering innovative and cutting edge Data Science solutions utilising AI and Machine Learning to target important use cases. With a focus on privacy and data sovereignty his research aims to produce technology for the common good with a foundation of sharing through open source software practices.
Graham has served in a number of senior roles across academia, research, govenrment, and industry. As Director of Data Science with Microsoft he assisted industries in setting up data science capabilities. 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 formed 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.
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Graham's research has a focus on software engineering for data privacy and data science across the areas below:
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- Special Achievement Award for service to the Pacific Asia Conference on Knowledge Discovery and Data Mining, 2020.
- Distinguished Contribution Award for research and teaching from the Pacific Asia Conference on Knowledge Discovery and Data Mining, 2011
- Commisioner's Award for Innovation, Australian Taxation Office, 2010
- Australia Day Medallion, Australian Taxation Office, 2007
- Most Innovative Award, High Performance Computing Challenge, Super Computing, Orlando, Florida 1998
- Best Student Paper Award, International Conference on Expert Systems, Avignon, France, 1986 - Capturing Aboriginal Knowledge for Bush Fire Management in Kakadu National Park