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Ruoyu Miao is a research associate in the Department of Obstetrics and Gynaecology at the University of Cambridge. She did joint models for mean and variance structures as a postdoc in the Department of Mathematics at the University of Manchester (2022-2023). Her research area is 'Joint modelling approaches for multi-outcome data'. Her current research is related to the joint latent class model. Her research focuses on two concentrations: (1) A joint latent class model of longitudinal and survival data with the time-varying membership probability; (2) A general time-varying joint latent class model with covariance modelling. Now she is the biostatistician at the Department of Obstetrics & Gynaecology, School of Clinical Medicine. Her current research at the University of Cambridge is the proteomic analysis of blood samples from the Pregnancy Outcome Prediction Study (POPS) cohorts. The aim of the study is to determine the association between maternal serum levels of metabolites and the risk of adverse pregnancy outcomes.