Gáspár Pándy-Szekeres serves as an Academic Employee at the University of Copenhagen's Faculty of Health and Medical Sciences within the Department of Drug Design and Pharmacology. His research focuses on computational approaches to G protein-coupled receptors (GPCRs) and related signaling proteins, with significant contributions to bioinformatics resource development. His primary research interests include GPCR bioinformatics, molecular dynamics simulation of receptor systems, computational drug design methodologies, and specialized database construction for biological targets. He employs advanced computational techniques to analyze receptor structure-function relationships, ligand binding mechanisms, and allosteric modulation sites critical for pharmaceutical development. Recent publications demonstrate a clear trajectory toward integrating artificial intelligence (AlphaFold2) with experimental data to model physiological ligand complexes and receptor dynamics. His work emphasizes large-scale analysis of molecular dynamics trajectories to identify cryptic binding pockets and lateral access pathways in GPCRs, advancing targeted drug discovery. As a core contributor to the GPCRdb platform, he leads international collaborations focused on expanding receptor classification systems, developing structure-similarity search tools, and incorporating odorant receptor data. His research group maintains active partnerships across European institutions for advancing computational pharmacology frameworks.