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Tilda Herrgårdh is affiliated with Linköping University, where she focuses on using mathematical models to understand disease progression, particularly in the context of stroke. Her research aims to develop predictive models that can foresee the occurrence of strokes, which are a leading cause of death and can result in irreversible disabilities for many individuals. Herrgårdh investigates various types of models, including mechanistic models that describe the physiology and biological systems involved in processes like blood fat transport. These models are trained using data from specific individuals to predict how biomarkers evolve over time. In addition, she employs machine learning models to assess the risk of future strokes. By combining these approaches into hybrid models, her work seeks to contribute to preventative stroke care by estimating risks under different scenarios involving diet and medication. Herrgårdh supervises bachelor projects in systems biology and teaches courses in biomedical models and simulations.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.