Dr Yang Liu

Dr Yang Liu is a computational precision medicine researcher whose work integrates large-scale multi-omics data with multimodal real-world health data to better understand major chronic diseases and multimorbidity, identify patients at risk before disease progresses, and uncover actionable opportunities for targeted prevention and therapeutic intervention.

Yang received her BSc in Biomedical Engineering from the Georgia Institute of Technology, with a concentration in Electrical and Computer Engineering. She then completed an MSc in Bioinformatics at the University of Queensland and the Translational Research Institute Australia, where she built a foundation in data engineering and computational analysis of molecular and genomic data. She subsequently earned her PhD at the University of Melbourne, where she developed machine learning approaches using population-scale biomedical data (e.g. electronic health records, genomics, gut metagenomics, and metabolomics data) to predict long-term clinical outcomes and identify molecular and clinical signals relevant to complex disease risk and therapeutic target discovery.

At the University of Cambridge, Yang’s research programme is organised around two connected themes. The first is AI-enabled multi-omics and multimodal modelling for major chronic diseases and multimorbidity, focused on delineating molecularly informed disease states, risk profiles, and intervention-relevant outcome trajectories beyond conventional diagnoses and risk scores. The second is translational evidence generation, linking high-throughput molecular signatures with therapeutic target prioritisation, treatment-response stratification, and trial enrichment to identify biologically grounded intervention opportunities.

Beyond research, she is interested in healthcare innovation and entrepreneurship, especially the translation of AI and biomedical data science into real-world clinical and commercial impact.