My present research concerns the application of machine learning to improve human health, performance and decision making. I am interested in personal analytics approaches,i.e. the collection of data that helps characterise the state of an individual. This has many applications in health and performance and in many cases requires research with emerging sensing technologies often wearable as well as distributed computing paradigms. In the realm of health this work leads to the concept of digital biomarkers or more generalised, the synthesis through digital means of virtual biomarkers for disease and conditions of a neurological nature.