Rate My Professor Julia Hippisley-Cox

Julia Hippisley-Cox specializes in clinical epidemiology and predictive medicine, with expertise in primary care, drug safety, cancer, and health inequalities, particularly using large-scale electronic health record analyses. She has led the development of groundbreaking risk prediction algorithms, including the QRISK series for cardiovascular disease and type 2 diabetes risk, which have saved thousands of premature deaths, and the QCOVID tool commissioned by UK Chief Medical Officers to identify 1.5 million high-risk patients for COVID-19 shielding and prioritised vaccination. Many of her models are the first of their kind globally and have been adopted at scale in the NHS over 15 years. She has secured over £50 million in competitive funding from NIHR, MRC, Wellcome, Cancer Research UK, and others. Her national roles include chairing the Risk Stratification Subgroup of NERVTAG, membership in SAGE subgroups, and service on CMO advisory groups, NHS Health Check Expert Panel, National Ethics and Confidentiality Committee, and as a founder member of the Confidentiality Advisory Committee. Awards include the RCGP John Fry Award (2009), Florence Nightingale Award from the Royal Statistical Society (2021), HSJ Best Use of Technology Award, and John Perry Awards (2013, 2021). She supervises PhD students in clinical epidemiology and predictive medicine.