Imperial College London
Dept. of Chemical Engineering
South Kensington · London SW7 2AZ
Bridging theory,
simulation, and data
I am a Marie Skłodowska-Curie Postdoctoral Fellow at Imperial College London's Department of Chemical Engineering, where I work at the intersection of molecular modelling, thermodynamics, and data-driven methods. My research develops physically grounded computational frameworks that predict the properties of complex molecular systems and ionic liquids with both accuracy and interpretability.
My doctoral work at the Technical University of Denmark, within the Center for Energy Resources Engineering, focused on the thermodynamics and transport properties of electrolyte solutions — developing new equations of state, conductivity models, and ion-pairing theories grounded in statistical mechanics. This work yielded the Binding Debye–Hückel (BiDH) theory, which has since prompted active scientific debate and published exchanges.
More recently, my research has expanded into cheminformatics, graph neural networks, and molecular design, exploring how modern machine learning architectures can be integrated with classical thermodynamic constraints to accelerate molecular and materials discovery.