Assistant Professor of Data Analytics and Computational Medicine, Department of Surgery and Cancer, Imperial College London. Research focuses on developing computational methods that can make a difference in data-driven global health and disease. Has led the development of a series of field-changing data analytics frameworks to augment emerging molecular ("-omics") profiling technologies into clinical decision support, and population health management. Expertise combines the use of a diverse range of computational techniques from signal processing, imaging informatics, machine learning, and high-performance computing for information extraction from heterogeneous biomedical datasets. Translation interests are stratified medicine and digital pathology.