*Speakers may vary
Geoff is Director of the Monash University Centre for Data Science. His many awards include the Australia Museum’s inaugural Eureka Prize for Excellence in Data Science.
He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery. He has developed many useful machine learning algorithms that are widely deployed.
Geoff is a Technical Advisor to data science startups BigML Inc and FROOMLE. BigML have incorporated his best of class association discovery software as a core component of their Machine Learning service. He provides Data Science consultancy across many industries.
Dennis is a co-founder of doubleIQ and its business director since 2000, concentrating on delivering marketing and analytics capability to customers.
In the last six years his focus has been on the delivery of data engineering/analytics capability as a service. This has culminated in the development of doubleIQ’s Trusted Data Marketplace which is now being used by some of Australia’s largest companies.
Dennis's interest lies in the use of data engineering/ analytics to create new business opportunities, on the edge or between businesses. Increasingly these ideas simply arise from the digitisation of everything and the external delivery of many of the core business functions.
Di is a Professor of Business Analytics, in the Department of Econometrics and Business Statistics at Monash University, a Fellow of the American Statistical Association, and the Editor of the Journal of Computational and Graphical Statistics. She is well known for her work in data science, data visualisation, exploratory data analysis, data mining, high-dimensional methods, statistical computing and for developing open source software.
Professor Cook has authored more than 100 papers, chapters or books, and delivered more than 100 invited talks and workshops. (details can be found at dicook.github.io).
Her current research includes developing new types of random forests for classification, visualisation, clustering and significance testing of massive biological data, tennis and soccer statistics and enabling statistical inference with visual exploration of data.
James is founder and CEO of Datanomics, a data innovation business that co-produces and commissions data collectives for industry, public and research sectors.
Datanomics assists organisations and groups in gaining greater agency in the data economy through collective action. We do this by developing ethical and sustainable data sharing models that shift value to creators and makers; and, by building practices based on shared values and principles.
He is also a civil society member of the Australian Open Government Forum, which oversees the Federal Government's Open Government Partnership commitments, Deputy Chairperson of the Victorian Mental Illness Awareness Council, and a member of the Victorian Department of Health and Human Services' Innovation Reference Group for the Victorian Government 10 Year Mental Health Plan.
James holds a Bachelor of Business from Uni SA and a MBA from ANU.
Kim is an internationally recognised researcher in information visualisation and optimisation. He completed his PhD in 1989 at the University of Melbourne and then spent four years as a Research Scientist at IBM TJ Watson Research Center in New York.
Kim returned to Australia in 1993 to take up a position at Monash University. He is a co-director of the Monash FIT Research Flagship in Modelling, Optimisation and Visualisation and one of the leaders of the Monash Immersive Analytics initiative, which is exploring how new technologies like the Oculus Rift and Monash’s $1.9M CAVE2™ immersive visualisation facility can support data analytics and decision making.
CAVE2™ is a trademark of the University of Illinois Board of Trustees.
Salim is responsible for envisioning, solutions design, consulting and delivery of advance analytic services.
Prior to this role, he was the Digital Advisory Lead for Microsoft Services in Australia, as well as a member of the Worldwide Digital Advisory Team where he was responsible for the development and execution of Microsoft’s digital transformation strategy and solutions portfolio with key industry solutions, partners and customers across Financial Services, Government, Education, and Sports.
Salim holds a degree in computing and instrumentation, including an MBA in Technology Management. He sits on the review board of The International Association of Solutions Architects for the Australian Chapter.
Mark has over 25 years of experience in data management, data warehousing, client server and web-based interface development projects.
As a co-founder of doubleIQ and its Technical Director since 2000, Mark’s key role has been as data modeller/architect. In this role Stammers has had to keep abreast of the latest data engineering and analytical techniques and how best to apply these to specific business problems.
Mark's interests lie in using the semantics of the data to automate and inform underlying data orchestration and exploitation processes, to deliver economic value to end-users and downstream business processes.
Rob J Hyndman
Rob is Professor of Statistics at Monash University, Director of the Monash University Business and Economic Forecasting Unit, and Editor-in-Chief of the International Journal of Forecasting. He has received several awards for his research including the 2007 Moran Medal from the Australian Academy of Science.
Prof Hyndman has authored over 140 papers, chapters or books on statistical topics, and more than 200 consulting reports (completed publication list on robjhyndman.com). His current research projects include time series visualiation, forecasting large hierarchies of time series, electricity demand forecasting, and machine learning strategies for improving multi-step forecasting.
Jin leads the execution of advanced analytics projects with Microsoft customers. Before joining Microsoft in 2016, she was a principal data scientist with Pivotal Software Inc. headquartered in Silicon Valley. Jin has worked with customers from different industry verticals including telco, healthcare, global financial services, municipal city government and global mining corporations to develop analytics solutions for their most critical business problems.
Jin has a Master's degree in Artificial Intelligence, a Ph.D. in Machine Learning and was a postdoctoral research fellow with the Australian Centre for Visual Technologies. Her main research interests are in stochastic (online) learning, optimization, and robust statistics for large-scale analytics problems. Jin's research has been published in top international computer science journals and conferences.
The Yield is an agricultural technology startup providing advanced decision support tools for agriculture based on microclimate sensing data and machine learning.
Chris is an experienced CTO and consulting Enterprise Architect specialising in the Internet of Things and Big Data and Analytics. He has consulted to a wide range of clients including Cisco, Macquarie Bank and the NSW Government.
He has hands-on experience in the development and rollout of IoT programs. He is a start-up mentor and Angel Investor and is a respected speaker on Big Data and the Internet of Things.
Chris holds degrees in Electrical Engineering, Computer Science and Physics.