Biography
Sam Ip is an Assistant Research Professor in the Department of Public Health and Primary Care (DPHPC), University of Cambridge. She works across the Cardiovascular Epidemiology Unit (CEU) and the Centre for Cancer Genetic Epidemiology (CCGE), and is also affiliated with the Cambridge Centre for AI in Medicine (CCAIM). Her work develops statistically and computationally efficient methods for large-scale analyses using whole-population electronic health records (EHRs), spanning causal inference, associational analyses, prediction modelling, missing-data methods, and dynamic modelling.
She trained in mathematics (MMath, University of Cambridge) and theoretical physics (cosmology; PhD, Max-Planck-Institut für Astrophysik).
Research
Her work combines methods development and applied analyses using whole-population EHRs, with emphasis on statistically and computationally efficient methods for large-scale analyses, including implementation in trusted research environments, where computational constraints shape analysis design.
Methods include:
• Causal inference • Associational analyses • Missing-data methodology
• Dynamic prediction
Application areas include:
• Early cancer detection and diagnosis
• COVID-19 impact (vaccination safety, SARS-CoV-2 infection impact)
Publications
Full publication list available via ORCID.
