Ward Quaghebeur
Project Engineer at Marlinks
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolWard Quaghebeur is a bioscience and computational engineer with eight years’ experience applying machine learning and modelling to environmental technologies, from anaerobic digester energy optimisation to arsenic removal in Bolivian drinking water. He blends hands-on project engineering and field implementation with academic rigor as a former PhD researcher in mathematical modelling at UGent and a lecturer who developed a university course on environmental technologies. Comfortable bridging stakeholders and technical teams, he has managed international projects in collaboration with NGOs and universities and currently works on practical water treatment solutions at Marlinks. His background in computer science (MS coursework at Georgia Tech) and a track record of using data-driven controllers reveal a rare combination of field pragmatism and algorithmic thinking. Colleagues value his leadership, public-speaking experience and habit of turning complex datasets into actionable process controls.
8 years of coding experience
5 years of employment as a software developer
Master of Science, Bioscience engineering, Master of Science, Bioscience engineering at Universiteit GentMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyDoctor of Science, Mathematical Modelling, Doctor of Science, Mathematical Modelling at Ghent University
Dutch, English, French, Spanish
Github Skills (8)
fuzzy-logic9
pid-control8
logic7
fuzzy7
mpc7
pid7
machine-learning5
sarsa4
Github contributions (5)
mr-d-self-driving/Control-and-AI-Algorithms
Feb 2018 - Apr 2018
Implementations of Control (PID, LQ, MPC, ...) and AI (fuzzy logic, Q-learner, SARSA, ...) algorithms
Contributions:22 commits in 1 month
implementationsmpcfuzzysarsafuzzy-logic
WardQ/Machine-Learning-Algorithms
Feb 2018 - Jan 2019
Contributions:35 pushes, 1 branch in 11 months
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