Dr Graham J Williams
Professor Graham Williams is Chief Scientist, Software Innovation Institute, Australian National University.
Prior to beginning with the ANU in 2020 Graham was Director of Data Science, Cloud and AI, Microsoft Asia, 2016-2020. Graham lead a team of data scientists and machine learning researchers delivering innovative and cutting edge AI and Machine Learning to the enterprise, and developing tomorrow’s advances in AI.
Graham has a PhD in Machine Learning and is an Artificial Intelligence developer, researcher, practitioner, and educator as well as an Open Source Software developer, with over 30 years in the industry. He has authored many books and papers as well as a number of popular software packages including Rattle for data mining. He is the author of the book Data Mining with Rattle and R: The Art of Excavating Knowledge from Data published in 2011 and The Essentials of Data Science: Knowledge Discovery Using R published in 2017.
As Lead Data Scientist at the Australian Taxation Office from 2004 until 2016 he was involved in setting up the Australian Government’s Data Analytics Centre of Excellence and guided the development of data mining capabilities across the Australian Government. From 1991 to 2004 he was Principal Computer Scientist for Data Mining with the Australian Government’s premier research organisation, CSIRO Australia. He has served as a Senior International Expert and Visiting Professor of the Chinese Academy of Sciences, Adjunct Professor in Data Mining, Fraud Prevention, Security, at the University of Canberra and Adjunct Fellow with the Australian National University. Graham is an active machine learning researcher and regularly teaches courses and maintains resources for the data scientist including OnePageR and MLHub.
Graham’s research has pioneered developments in ensemble learning, outlier detection and profile discovery. He is involved in numerous international artificial intelligence and data mining research activities and conferences. He is past-chair of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), founder and co-chair of the Australasian Conference on Data Mining (AusDM), and member of the Australasian Artificial Intelligence Conference.