Paul Lodder is a Data Engineer with an MSc in Artificial Intelligence. His passion for psychedelic research began during his undergraduate studies of Liberal Arts & Sciences at Amsterdam University College (AUC), where he initially intended to pursue a degree in biomedical sciences. Upon discovering his passion for programming, however, Paul made the switch to focus on computer sciences and artificial intelligence.

Besides his studies, Paul gained experience working as a Data Scientist and Data Engineer. In his MSc thesis project, he leveraged his biomedical background, data engineering, and deep learning expertise to develop a novel geometrical deep learning framework aimed at deepening our structural understanding of G-protein coupled receptor signalling, with a focus on the 5HT2a receptor. By applying explainability techniques, the framework facilitates identification of structural determinants and aims to she light on the molecular basis of psychedelic signalling.