Michael Smith has held the Chair of Management in Econometrics at the University of Melbourne since 2007. He is a leading researcher in Bayesian statistics and business analytics, and is located at the Melbourne Business School. Michael completed his PhD at the Australian Graduate School of Management at the University of New South Wales. Prior to joining Melbourne, he held positions at Monash University and the University of Sydney. He has also held visiting positions at Ludwig Maximilians University in Munich, the Wharton School at the University of Pennsylvania, McCombs School of Business at the University of Texas and London Business School. Past major awards include an Alexander von Humboldt fellowship and an Australian Research Council Future Fellowship. Michael’s research focuses on developing methods for the analysis of large and complex datasets that arise in business, economics and elsewhere. On the methodological side, he has worked on Bayesian algorithms, spatial and time series analysis and multivariate modelling. On the applied side, he has worked on marketing models for advertising effectiveness and consumer response, neuroimaging, and macroeconomic and business forecasting. He has a long-standing interest in the electricity markets, including the modelling and forecasting of demand and spot prices. Michael’s research has been published widely in the leading academic journals in statistics, econometrics, marketing and forecasting. . Michael has taught courses in econometrics, statistics, decision sciences and business analytics at all levels – from undergraduate to PhD level. At Melbourne he currently teaches Data Analysis on the part-time MBA and Financial Analytics in the Master of Business Analytics. He also has experience in executive education.