His doctoral thesis focuses on the development and application of in operando magnetic resonance methods to study Cu-catalyzed electrochemical CO₂ reduction. The research aimed to examine local reaction conditions near the working electrode, with an emphasis on the interplay of local pH and cations.

By utilizing combined Magnetic Resonance Imaging (MRI) and Nuclear Magnetic Resonance (NMR) techniques, spatially resolved pH profiles and cation hydration states were obtained. A novel pH determination method using ¹³C NMR was developed and validated, enabling non-invasive local pH measurements during electrolysis. The study revealed increasing local pH values during CO₂ reduction for NaHCO₃ and KHCO₃ electrolytes and demonstrated how the buffer capacity of electrolytes is influenced by cation identity.

This work offers new methods for understanding local reaction environments in electrochemical CO₂ reduction and highlights the potential of magnetic resonance techniques in studying complex electrochemical systems.