A central theme of my work is the frictional behavior of surfactant adsorption films and electrolyte-lubricated contacts under mechanical and electrical stimuli. I develop reproducible, high-performance computational workflows for large-scale simulations and integrate research data management as a core scientific principle. Beyond physics-based modeling, I apply Gaussian process regression and classification to predict surface performance from topographical descriptors, bridging fundamental simulation with industrial surface engineering applications.
My long-term research vision is to establish reproducible, multiscale digital twins of functional interfaces by tightly coupling physics-based simulation, machine learning, and FAIR research data infrastructures.