Assistant Professor, Muma College of Business, University of South Florida
Daniel Zantedeschi is an assistant professor in the ISDS Department at the Muma College of Business, which he joined in December 2014. He teaches the MIS and DBA classes on statistical data mining and linear statistical models.
His research focuses on methodological and empirical developments in business analytics, with an emphasis on questions pertaining to pricing and discounting, advertising, social media and measurement of policy effectiveness. His areas of expertise include Bayesian statistics and econometrics, data fusion and visiualization, and large scale simulation and experimentation.
Before joining the Muma College of Business, Zantedeschi was the Mars Postdoctoral Research Fellow and lecturer in statistics at the Wharton School of the University of Pennsylvania, where he previously taught classes in stochastic processes and statistical inference. Zantedeschi received his PhD in Information, Risk and Operations Management from the McCombs School of Business at the University of Texas at Austin.
May 8th 8:00am-5:00pm (specific time TBD)