Research Expertise and Interests
- Cancer epidemiology: Personalized cancer prevention, treatment, and prognosis, with a focus on radiation oncology
- Big data cohort analysis (e.g., UK Biobank and other large-scale population studies)
- Genomic epidemiology: GWAS, Polygenic Risk Scores (PRS), next-generation sequencing (NGS)
- Epigenetic epidemiology: Biological age, Epigenetic Mutation Load (EML)
- Causal inference: Mendelian Randomization (MR)
- Computational methods: Machine learning, artificial intelligence, predictive modeling
- Biostatistical software: Stata, SPSS, R, Python
Web Showcase of Pancreatic Cancer Risk Prediction Models