I am an Associate Professor at the University of Oxford and聽lead Health Data Research UK鈥檚 national implementation project on reproducible machine learning. My research group at Oxford develops reproducible methods to analyse wearable sensor data in very large health studies to better understand the causes and consequences of disease. For example, we have developed聽聽which are now actively used by researchers worldwide to demonstrate new associations with cardiovascular disease, depression, mood disorders, and others. We have also developed聽. In addition, we have discovered the聽. This work shows the first genetic evidence that physical activity might causally lower blood pressure. In 2015 I was one of only three EU Marie Curie Award winners (from ~9000 fellowship holders), selected for my contributions to health sensor data analysis. I have also contributed to the creation of聽, in collaboration with the US Food and Drug Administration (FDA) supported Clinical Trials Transformation Initiative on 鈥淢obile Clinical Trials鈥.
