I'm a trusted and experienced Data Science leader, with a proven record of delivering innovative, successful and sustainable projects in government, industry and startups (including sports analytics), that leverage data and Machine Learning/Deep Learning capabilities to deliver actionable insights.
I enjoy collaborating with organisations to turn problems into technical solutions, that meet strategic goals, by developing and managing high-performance teams.
I develop and deliver technical and executive training for upskilling and retraining, and to improve data literacy and technical skills.
I run local Meetups in the areas of Data Science, R programming and Analytics Leadership & Management. My aims are to educate, mentor, inspire, influence, and spur discussion and collaboration.
I offer thought leadership via my blog and regular conference and industry keynote presentations, and share my 17+ years of experience and knowledge in areas that include Machine Learning, Deep Learning, Artificial Intelligence, Mathematics, Statistics and Quantitative Analysis, developed across multiple domains: Federal Government, Asset Management (Hedge Funds), Insurance and Banking (Investment and Retail).
I've also been featured on various podcasts, blogs and publications, including The Curious Quant, Super Data Science, The Analytics Show and Public Spectrum.
I convene COMP4650/6490 Document Analysis (NLP course), and co-convene BADA (Bachelor of Applied Data Analytics) & MADA (Master of Applied Data Analytics).
I supervise a number of Honours, Masters and PhD students, in collabortaion with government and industry (including Health & Cyber), in such areas as interpretable Machine Learning and text-to-speech machine translation.
I also manage, collaborate and advise on a number of government and industry projects, including confidential computing, Machine Learning in Health and AI Ethics/Bias/Fairness.
I’ve been recognised as one of the Top 10 Analytics Leaders in Australia by IAPA (Institute of Analytics Professionals of Australia).
Confidential Computing - including privacy preserving entity resolution
Machine Learning - including interpretable and explainable
NLP - including text-to-speech machine translation
Valuation of Financial Derivatives
Investment Portfolio Optimisation & Asset Allocation
Mathematical Modelling of Stored Grain Microclimates
Solutions to Coupled PDEs
Meetups that I run: