Brussels, Brussels Region, Belgium
Data Scientist with a PhD in engineering specialized in leveraging AI and machine learning to optimize complex systems, improve decision-making, and drive measurable business impact. Experienced in anomaly detection, predictive modeling, time series forecasting, computer vision, and digital twin development.
- Designing and deploying advanced AI and machine learning solutions to monitor and optimize large-scale industrial processes. - Coordinating company-wide Generative AI competence group, driving innovation in both technical applications and in non-engineering areas.
Department of Mechanical and Aerospace Engineering, Computational Turbulent Reacting Flow Laboratory. Main research topics: - Bayesian optimization for chemical kinetics. - Reduced-order modeling and non-linear regression for acceleration of Computational Fluid Dynamics simulations of turbulent reacting jets. - Subgrid-scale modeling of interphase interaction forces in multiphase hydrodynamics, with emphasis on solid-gas systems.