Web page: http://www.gu.se/
Karl Gustavsgatan 29,
411 25 Göteborg, Schweden
Telefon: +46 31 786 00 00
Projects: HUMET Startup
Institutions: University of Gothenburghttps://orcid.org/0000-0003-0786-8091
POSITION: Professor of Cardiovascular Research at University of Gothenburg, chair of Dept of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, and part-time physician at Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
RESEARCH: My main long-term interest has been to understand the underlying mechanisms that lead to, and consequences of, lipid accumulation in the liver, arterial wall and heart, with the goal of translating this knowledge into
Roles: Project Coordinator
Expertise: Signalling networks, dynamics of biological networks., Databases, Data analysis, Systems Biology, Model selection, Identifiability, Cellular Senescence, Cell Cycle, Dynamic Systems, Image processing, Image analysis, Parameter estimation
My group investigates dynamic regulation and control mechanisms of cellular signal transduction networks by a combination of theoretical, experimental and computational methods. We seek to make sense of our biological data with the help of mathematical models, which ideally enable us to make valid predictions for new experiments, thereby generating novel biological insights.
Increasing temperature in the European wine producing regions is having a negative impact on this key sector. Climate change results in a lack of balance between technological and phenolic ripening of wine grapes and, as a consequence, alcohol increase in wines. This trend is of great concern for the European wine industry because it has a negative impact on wine quality, becomes a hurdle for international trade, and jeopardizes compatibility of moderate wine consumption with a healthy lifestyle.
Systems Biology studies the properties and phenotypes that emerge from the interaction of biomolecules where such properties are not obvious from those of the individual molecules. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex