معرفی
Xin Yang is a Senior Research Associate in the Department of Public Health and Primary Care, affiliated with the Centre for Cancer Genetic Epidemiology at the University of Cambridge. Her work bridges statistical genetics, genetic epidemiology, and health data science, focusing on cancer risk prediction and genomic data analysis.
- Education: PhD in Statistical Genetics (University of Cambridge), BSc in Human Molecular Genetics (Imperial College London)
- Previous Employment: Principal Statistician at GlaxoSmithKline and Open Targets
Her research emphasizes genetic risk modeling for breast, ovarian, and prostate cancers, utilizing resources like the UK Biobank and BOADICEA framework. Key areas include coding variant analysis, family history integration, and dynamical risk prediction for precision medicine applications.
Xin Yang’s publications highlight methodological advancements in cancer risk stratification, including studies on ATM/CHEK2 genes, BRCA1/2 mutations, and polygenic risk scores. She also explores mammographic density and epithelial tubo-ovarian cancer prediction.
