Health and illness have causes beyond biology and behaviour. However, a systemic and systematic approach is still largely missing. To predict or evaluate the effect of health intervention, many interrelated factors (and the multi-scale and dynamic interplay between them) should be taken into account: from an individual’s genes, biology and behaviour, to the social and physical environment and medical care.
We aim to develop predictive models that can run what/if explorations for various health and wellbeing related questions, examining all aspects from the molecular level all the way up to the healthcare system. We validate these models using real-time data from healthcare and population health studies. Our overall objective is to support the identification, implementation, and evaluation of effective interventions for major public health challenges. This requires integration of knowledge, data, concepts and theories from many disciplines, ranging from biology and medical sciences to psychology, sociology and economics.