Mechanistic Modelling in Pharmacology, Physiology, and Neuroscience
November 26, 2026 @ 08:30 – 17:00 CET
Understanding complex biological systems requires more than data—it demands mechanistic insight. This conference highlights how mechanistic models can integrate clinical and experimental data with computational approaches.
The volume and complexity of life science data are growing at an unprecedented pace. While computational tools are increasingly used to structure and analyze these data, there remains a critical gap in our ability to understand the data in a mechanistic and physically realistic way. Bridging this gap is essential for uncovering the fundamental principles that govern the function of molecules, cells, organs, and entire organisms.
Mechanistic models play a central role in this effort and are key to advancing applications such as the development of new pharmaceuticals and improved clinical interventions. However, progress is often hindered by the lack of a shared language between experimental scientists, clinicians, and computational researchers.
This conference will bring together experts from these fields to explore state-of-the-art tools and methodologies, discuss how they can be effectively applied, and foster stronger integration across disciplines. By promoting collaboration and mutual understanding, the meeting aims to accelerate progress in pharmacology, physiology, and neuroscience.
Registration deadline
Confirmed speakers
Jan Ellenberg, Director of SciLifeLab
Petra Ritter, Charité University Medicine Berlin
Erik Lindahl, National Supercomputer Centre, NAISS
Morten Grunnet, Lundbeck & University of Copenhagen
Partners
SciLifeLab & the National Committee for Pharmacology, Physiology and Neuroscience
Organizing committee
Fredrik Elinder, Professor of Molecular Neurobiology, Electrophysiologist, Linköping University
Johan Wessberg, Professor and Principal Investigator Department of Physiology / Neurophysiology, Gothenburg University
Per Petersson, Professor in the field of Neurophysiology, Umeå University
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