David R. Hardoon, PhD
David R. Hardoon is a Director for Advanced Analytics, IT Advisory Services at Ernst & Young, ASEAN. He is leading the analytics practice and is responsible for the positioning of business analytics advisory and services to clients across different business sectors. He is also an Adjunct Faculty Member of School of Information Systems and Singapore Management University in Singapore and an Honorary Senior Research Associate at the Centre for Computational Statistics & Machine Learning, University College London in the United Kingdom.
Dr. Hardoon has been engaged at various conferences and workshops to speak on research and business related topics in machine learning, data mining and business analytics. He also regularly tutors, advises and provides consulting support in his field of expertise, Analytics and Business Analytics. He also has established expertise in developing and applying computational analytical models for business knowledge discovery and analysis and has been involved in research projects in the domains of taxonomy, neuroscience, aerospace and finance.
Dr. Hardoon received his doctorate in Computer Science in the field of Machine Learning from the University of Southampton in 2006 and was awarded first class honors in B.Sc. Computer Science and Artificial Intelligence at Royal Holloway, University of London in 2002.
More information about David can be found at davidroihardoon.com
Galit Shmueli, PhD
Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business, and earlier Associate Professor of Statistics at University of Maryland's Smith School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare.
Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authors over seventy journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.
She has taught at Carnegie Mellon University, University of Maryland, the Israel Institute of Technology, Statistics.com and the Indian School of Business. Her experience spans business and engineering students and professionals, both online and on-ground. Dr. Shmueli teaches courses on data mining, statistics, forecasting, data visualization, and industrial statistics.