Shujuan Chen

I am a PhD researcher at the University of Cambridge working at the intersection of health inequalities, data science and machine learning, and sustainability. My work examines how urban environments shape health—particularly mental health and dementia—and health behaviours such as active travel. Methodologically, I use causal and predictive frameworks (e.g., TMLE/Super Learner, Bayesian causal forests, deep survival learning) to estimate heterogeneous treatment effects across demographic and spatial contexts. I work extensively with large, secure UK datasets and advanced geospatial measures of the built and natural environment (e.g., public transport density, green space, and accessibility indices) to generate policy-relevant, reproducible evidence to inform equitable and sustainable urban health policy.