Research
Graham’s research in data science and machine learning has recently focussed on the recovery of our privacy in a digital and data rich world where our data is being utilised without our knowledge or approval. The Software Innovation Institute researches new approaches that ensure data can be securely stored and placed under an individual’s control. With a privacy first approach, personal online data stores (or PODs) hosted on open source SOLID (socially linked data) servers anywhere in the world can now store and protect our data from otherwise prying eyes.
Check out some of Graham’s work:
- Data Privacy and Data Sovereignty (https://solidcommunity.au);
- Open source software for data science (https://rattle.togaware.com);
- Democratising AI, Machine Learning, and Data Science (https://mlhub.ai);
- Privacy and Data Analysis over massively distributed data (https://togaware.com/ecosysl.html);
Biography
Graham develops innovative approaches to Data Science utilising AI and Machine Learning to target important business use cases. With a focus on developing technology to benefit society and on sharing all his developments through open source software, his most recent research has implemented a privacy first framework for collecting our data on the Internet. He has published an extensive collection of research outcomes on github as well as published on the Google library:
Graham has served in a number of senior roles across industry, government, research and academia. He was Director of Data Science with Microsoft, building and mentoring research groups across many different industries world wide. 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 CSIRO he initiated the first Data Mining research group in Australia.
Graham is the author of books and open source software widely used in teaching covering AI, Data Mining, Machine Learning, and Software Development.
Graham founded the Australasian Conference on Data Science and Machine Learning (AusDM) in 2002, and has served on the steering committee as chair and treasurer and member of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) since 2001.
Graham has a PhD in Computer Science (Machine Learning) from the ANU and BSc Hons (Maths) (First Class) University of Adelaide .
Activities & Awards
Publications
Visit Togaware for a list of publications.