Data Powered Algorithms For Value Stacking Optimisation Of Battery Energy Storage Systems
Brussels Metropolitan Area Belgium
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Summary
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Thomas Walkiers is a data scientist and control engineer who builds production-ready machine learning, optimization, and control algorithms to extract value from energy systems and complex time series. With experience across energy, biomedical, and industrial sectors, he has delivered battery control for grid services, solar+storage designs, electricity consumption and price forecasting, and end-to-end value-stacking algorithms for battery energy storage. He combines a rigorous applied mathematics background with hands-on project delivery—taking ideas from whiteboard to production at companies like Centrica and Bnewable. An entrepreneurial streak shows in co-founding a food-waste startup and in diverse consulting work that honed his ability to translate messy, multi-source data into actionable decisions. Outside work he blends technical creativity with active hobbies—from rugby and board-game design to drawing—bringing a practical, human-centered perspective to engineering problems.
1 year of coding experience
10 years of employment as a software developer
Master in Applied Mathematics Engineering Ingénierie, Master in Applied Mathematics Engineering Ingénierie at Université catholique de Louvain
Etudes Secondaires, Etudes Secondaires at Collège Saint-Michel
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Thomas Walkiers - Data Powered Algorithms For Value Stacking Optimisation Of Battery Energy Storage Systems