Biography
Download my resumé.
Interests
- Statistical modelling and computational science
- Combination of machine learning and statistical/physical modelling
- High-performance parallel algorithms
- Programming languages for high-performance computing
Education
PhD in Computer Science, 2015
Hasselt University
Licentiate of Applied Computer Sciences, 2004
Limburgs Universitair Centrum
Experience
Principal Member of Technical Staff and Visiting Professor (UHasselt)
imec
- Building the future of HPC and AI systems. Looking at the full-stack solution from System Architecture, runtime, CPU, accelerator and interconnect solutions up to software and applications.
- Technical co-leadership for architectural modelling and simulation
Post-doctoral Researcher
Hasselt University + imec
(privacy-preserving) Machine learning and AI with application in
- material-science
- single cell sequencing
Post-doctoral Researcher
Hasselt University + imec
Continued development on bio-statistics software for bayesian mixed effect modeling in pharmacometrics (J&J OO project) and latent-class mixture models (EPAD project).
Post-doctoral Researcher
Exascience life lab
Worked on scalable bio-statistics (bayesian inference, mixed effect models), machine learning, parallel computing and optimization.
Researcher - Member of steering committee
Exascience lab, Intel labs Europe
Worked on In-situ visualization algorithms for use on exascale computing platforms including multi-core resilient algorithms and reduction algorithms under load imbalance.
Researcher
Hasselt University
Developed a real-time depth capture system for broadcasting using a camera-projector system. This resulted in a compact set-up that produces depth estimates and confidence values at 50Hz.
Ph.D. Computer Science
Hasselt University
Acquiring the World through Photographs
- Advisor: Philippe Bekaert
Ph.D. Internship
Max-Planck-Institut Informatik
Worked on project “Relighting Objects from Image Collections”
