Summary
Florence Vermeire is an Assistant Professor in Chemical Engineering at KU Leuven with seven years of research experience spanning hybrid machine learning models and detailed kinetic modeling. She completed a PhD at Ghent University and held postdoctoral roles at MIT and Ghent focused on ML-driven pharmaceutical discovery, synthesis, and chemical recycling of plastics. Her work bridges fundamental combustion and reaction kinetics with data-driven approaches, informed by international research stays at CNRS and Shanghai Jiao Tong. Unusually for an academic engineer, she combines hands-on experimental techniques (e.g., plug flow SVUV-PIMS) with computational model development, enabling practical routes from lab measurements to predictive hybrid models. Based in Merelbeke, Belgium, she has a track record of translating complex reaction chemistry into scalable modeling tools that support sustainable chemical processes.
7 years of coding experience
Master of Engineering (M.Eng.), Chemische technologie (Chemical engineering), Master of Engineering (M.Eng.), Chemische technologie (Chemical engineering) at Universiteit Gent
English, French, Dutch