Dr Ruoyu Miao

I am the biostatistician at the Department of Obstetrics and Gynaecology, School of Clinical Medicine at the University of Cambridge, working with Prof Gordon Smith. My research focuses on the proteomic analysis of blood samples from the Pregnancy Outcome Prediction Study (POPS) cohorts to determine the association between maternal serum metabolites and adverse pregnancy outcomes.

As part of the Biostatistical Machine Learning group, I collaborate with Dr. Paul Kirk from the MRC Biostatistics Unit on the Wellcome Leap project. My role involves generating predictive models using machine learning to study correlations between gestational ages and metabolite and proteomic levels.

I completed my PhD in Statistics at the University of Manchester, where I developed joint latent class models (JLCMs) for multi-outcome data. My work included extending JLCMs to account for time-varying membership probabilities and proposing a model that includes covariance modelling to capture the effects of covariates on the association between longitudinal and survival outcomes