Dries F. Benoit is head of the Big Data Analytics research group at
Ghent Univeristy, Belgium. He is associate professor of Data
Analytics at the Faculty of Economics and Business Administration. He
holds an MSc degree in Marketing Analytics and a PhD in Applied
Economics (Data Analytics). As of 2017, he is visiting professor at
Université de Namur (Belgium) in the Data Science program.
His main expertise is in Bayesian modeling with a focus on
high-dimensional data, robustness and decision making, where most
applications are in the field of business administration and
management (marketing, fincance, operations research).
As a data-scientist, he often work together with researcher from other
fields such as medicine, energy, education, etc.
He has published in international peer-reviewed journals like Journal
of Statistical Software, Journal of Applied Econometrics,
Computational Statistics, Statistical Modelling, Journal of the
Operational Research Society, Decision Support Systems, and Expert
Systems with Applications, among others. He is currently guest editing
a special issue on Interpretable Data Science at Decision Support
Systems.
He regularly serves as reviewer member for international journals and
conferences and is co-organisor of the 2020 Ifors conference (Seoul,
Korea). Over the last years, he has been stream organizer at the EURO
conferences. Moreover, he is the main developer and maintainer of the
R/Fortran software-package, bayesQR: Bayesian quantile regression
(available on CRAN). He was involved in company projects in different
industries such as financial services, education, retail, and
government among others.
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