Dries Benoit
Introduction
Dries Benoit obtained a PhD in Applied Economics (Data Analytics) in 2011 from Ghent University.
Currently, he is associate professor in Data Analytics at Ghent University and teaches Bayesian Statistics, Statistical Modeling and Datamining and Pricing and Revenue Management to the students in Business Engineering.
He is also visiting professor at the University of Namur (Belgium) and at the IESEG School of Management (Lille/Paris, France).
Research
Dries Benoit specializes in Bayesian Statistics: an alternative (to frequentist statistics) paradigm for doing inference, prediction and model selection.
He works on both methodological as well as applied problems, where most applications are in the field of business administration and management (marketing, fincance, operations research).
As a data-scientist, he often works together with researchers from other fields such as medicine, energy, education, etc.
Software development
Dries Benoit is the author and maintainer of an R package for Bayesian Quantile regression