Researchers & Units

Specializes in Data Science for Drug Design. His work bridges structural bioinformatics and cheminformatics, focusing on AI/ML applications for kinases and the development of open-science tools like the KLIFS database.

Focuses on drug-related data science and pharmacogenomics. He integrates large-scale biomedical data — from genomics to clinical biobanks — to understand how genetic variability influences drug responses and personalized medicine.

A leader in crystallography and structural chemistry. He applies deep learning and advanced algorithms to solve the phase problem in X-ray and electron diffraction, focusing on polymorphism and crystal stability in pharmaceuticals.

Works in pharmacoepidemiology at the Dept. of Public Health. He specializes in analyzing registry data on drug use patterns and effects, investigating both known and unknown effects of pharmaceutical treatments with a focus on rational drug use and deprescribing.

A powerhouse in Computational Receptor Biology and GPCR research. He leads the development of world-renowned databases like GPCRdb and applies big data science to uncover new drug targets and receptor signaling mechanisms.

A specialist from the Dept. of Science Education. He researches the didactics of the laboratory, focusing on how students engage with scientific inquiry and the epistemic emotions — like curiosity and doubt — that drive learning in STEM environments.

Works in Theoretical and Computational Chemistry. His research focuses on computational methods for studying molecular properties, particularly photon absorption phenomena and excited electronic states using density functional theory approaches.

Works in Pharmaceutical Informatics. She utilizes mathematical modeling and Quantitative Systems Pharmacology (QSP) to bridge biological mechanisms with clinical outcomes, particularly for metabolic and cardiovascular diseases.

Specializes in the development and characterization of lipid-based nanoparticulate drug delivery systems. Her work focuses on supercooled smectic nanoparticles and liposomal formulations, exploring how colloidal systems interact with biological membranes and their applications in pharmaceutical delivery.

Specialist in the materials science of pharmaceutical solids. He uses advanced low-frequency Raman spectroscopy combined with multivariate chemometrics and machine learning to probe the mechanical and structural properties of complex drug delivery systems.

Head of the Pharmacovigilance Research Center, working in Pharmacovigilance. His research utilizes big healthcare data and real-world evidence from national registers to monitor drug safety and adopt AI/ML for signal detection in large populations.

Professor and leader of CPDSE. He works on RNA therapeutics and Pharma Strategy, drawing on a background in drug discovery and bioinformatics to shape the center's strategy and organizational growth.

Leader of the Pharmacometrics Group. She focuses on population PK/PD modeling and simulations to optimize dosing regimens, utilizing mathematical tools to understand variability in drug response across various therapeutic areas.