I am a Senior Statistician and Assistant Research Professor at the MRC Biostatistics Unit, University of Cambridge (United Kingdom). I also serve as an External Lecturer at EPFL (Switzerland). My research lies at the intersection of modern statistical learning and open problems in health and biomedicine.

My team develops Bayesian and statistical machine learning methodology, and accompanying software, for high-dimensional, longitudinal and multimodal data, with a focus on hierarchical modelling for variable selection, latent structure discovery and network estimation. We aim for methods that are interpretable, robust and computationally scalable. Our work is motivated by collaborative clinical and biological studies, with questions spanning patient trajectories, biomarkers and the molecular processes underlying health and disease.

Our overarching goal is to provide principled statistical and computational tools to help advance our understanding of the biological processes driving disease risk and progression.

I also provide statistical consulting for biomedical and life sciences research and R&D, supporting projects from study design through to data analysis and methodological review. Get in touch to discuss a potential collaboration.

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