ZHANG Xinyu
Xinyu is interested in chronic diseases modelling with Bayesian methods. Her PhD research focused on large crossed mixed effects models and stochastic gradient MCMC algorithms. She is currently focusing on the study of frailty and cancers.
Affiliation
- NUS Saw Swee Hock School of Public Health
Research Areas
- Chronic diseases modelling
- Bayesian modelling
- Crossed mixed effects models
- Stochastic gradient MCMC algorithms
Academic/Professional Qualifications
- BEc in Insurance, Fudan University
- MSc in Statistics, National University of Singapore
- PhD in Statistics, National University of Singapore