Anoukh van Giessen obtained a bachelor degree in Mathematics from Utrecht University in 2008. She obtained a master degree in Biomedical Image Sciences (2011) from Utrecht University and a master degree in Applied Mathematics from Delft Technical University (2012). In her thesis, performed at the Montreal Neurological Institute of McGill University (Montreal, Canada), she combined both studies to develop and evaluate dimension reduction and classification methods to identify patients with early-stage Alzheimer’s Disease based on brain MRIs.
In 2011 she became a PhD candidate at the Julius Center where she works on methodology to evaluate and improve the cost-effectiveness of prediction models. As part of an international collaboration she spent 3 months at the Peninsula Technology Assessment Group of the University of Exeter, UK (2013/2014). She obtained a postgraduate master degree in Epidemiology in 2014.
Health Economics, Risk Prediction, Decision Making, Health Technology Assessment
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