Zoe Kourtzi is Professor of Computational Cognitive Neuroscience at the University of Cambridge. Her research aims to develop predictive models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions. Kourtzi received her PhD from Rutgers University and was postdoctoral fellow at MIT and Harvard. She was a Senior Research Scientist at the Max Planck Institute for Biological Cybernetics and then a Chair in Brain Imaging at the University of Birmingham, before moving to the University of Cambridge in 2013. She is a Royal Society Industry Fellow, Fellow and Cambridge University Lead at the Alan Turing Institute, and the Scientific Director for Alzheimer's Research UK Initiative on Early Detection of Neurodegenerative Diseases (EDoN).
Predicting individual socio-cognitive health is of high priority for health economies, given the translational potential for early diagnosis and personalised treatment. Yet, predicting intervention outcomes in health and society is challenged by variability across individuals. Zoe's work addresses this challenge by developing predictive models based on machine learning approaches that synthesise large-scale multivariate and longitudinal data to characterise individualised profiles of health across the lifespan. This work has strong translational applications in education and healthcare for the design of a) practical cost-effective tools for early diagnosis of decline and disease progression in clinical practice, b) training programmes tailored to individual needs.