معرفی
Alexander Sebastian Hauser is an Associate Professor in the Department of Drug Design and Pharmacology at the University of Copenhagen's Faculty of Health and Medical Sciences, specializing in Pharmaceutical Informatics. His research integrates large-scale biomedical data with computational methods to advance understanding of protein biology, particularly G protein-coupled receptors (GPCRs).
His educational background includes a PhD in Computational receptor biology from the University of Copenhagen (2019), an MSc in Molecular Medicine from the University of Münster (2015), and a BSc in Biosciences from the same institution (2013). He has received extensive training through research visits, including a 5-month sabbatical at the MRC Laboratory of Molecular Biology in Cambridge.
Hauser's research focuses on four interconnected areas: Pharmacogenomics & Personalised Medicine Mechanisms, Protein-protein interactions across evolutionary domains, Molecular pharmacology of GPCRs, and Data science approaches to uncover genotype to phenotype relationships. His work bridges genetics, structural biology, pharmacology, and medicine, using GPCRs as a key case study.
His publication record shows a strong emphasis on GPCR biology, with recent work exploring deep learning applications in drug discovery, nature-derived peptides for GPCR ligands, and the molecular mechanisms of receptor signaling. His research integrates computational approaches with experimental validation to address fundamental questions in receptor pharmacology.
- H.C. Ørsted forskertalentpris (2019)
- DFF Sapere Aude Research Leader (2023)
- Semper Ardens (2023)
- Bachem AtPS runner-up award for peptide science (2021)
- Bayer Pharmaceuticals PhD Award (2021)
- Innovation Foundation Denmark grant (2024)
- Novo Nordisk Strategic Collaboration (2024)
Hauser leads an active research group focused on pharmaceutical data science and has secured significant funding including a 6.8M DKK Sapere Aude Research Leader grant. He is a core member of the Personalised Medicine cluster and serves on the editorial board of the British Journal of Pharmacology. His lab integrates computational biology with experimental approaches to tackle challenges in receptor pharmacology and drug discovery.
