I am a researcher in the Data & Analytics Competence center at the Flemish Institute for Technological Research (VITO) in Belgium since September 2021.
Previously, I worked a the Federal Planning Bureau in Belgium where I was part of the IT team and a researcher in demographic projections. I also briefly worked as a data science consultant.
I was a postdoctoral researcher between 2017 and 2019 at the department of Food and Resource Economics (IFRO) at the University of Copenhagen (Denmark) where I worked on the Tech4Effect project. In particular I worked on developing an interactive efficiency portal for forestry operations using machine level data that enables the various decision makers (e.g. harvest operators, SMEs) to get insights into their performance and, whenever necessary, helps them to improve.
I obtained a PhD in Economics on 19/09/2017 under supervision of prof.dr. Laurens Cherchye (KU Leuven) and prof.dr. Bram De Rock (ULB & KU Leuven). My main research interest is production economics.
In my spare time I enjoy reading, travelling and programming.
Teaching and Learning in Higher Education, 2019
Københavns Universitet (Denmark)
PhD in Economics, 2017
KU Leuven (Belgium)
MSc in Advanced Studies in Economics, 2013
KU Leuven (Belgium)
MSc in Mathematical Engineering, 2012
KU Leuven (Belgium)
BSc in Computer Science, 2010
Universiteit Antwerpen (Belgium)
This repository will host various utilities that one may need when doing Data Envelopment Analysis (DEA).
I keep a repository with useful MATLAB utility functions that intend to make MATLAB programming just that more easy.
Nonparametric Efficiency and Productivity Analysis for Julia. A toolbox for doing efficiency analysis and computing productivity change using nonparametric techniques.
NonParametric Regression Laboratory for MATLAB (NPRLab) is a MATLAB toolbox for nonparametric regression. In particular, it implements a variety of linear estimators. Data rescaling and bandwidth tuning is done automatically by the software. Finally, the toolbox also features confidence interval estimation by the volume-of-tube formula both in a one-dimensional and multi-dimensional setting.