Dr Xin Zhang

Dr. Zhang is an AI researcher, data scientist, and biostatistician whose work focuses on applying advanced analytical methods to complex healthcare and biomedical challenges. His expertise spans machine learning, predictive modelling, statistical analysis, longitudinal data modelling, and biomedical data analytics, with a particular interest in developing interpretable and clinically meaningful decision-support systems.

Working closely with clinicians and multidisciplinary researchers, Dr. Zhang contributes to the analysis of clinical trials, observational studies, and large-scale health datasets. His research combines modern AI techniques with rigorous biostatistical methodology to generate actionable insights that support evidence-based clinical practice and translational healthcare research.

His work has contributed to projects across paediatrics, neurology, population health, and health services research, with applications ranging from outcome prediction and risk stratification to healthcare optimisation and precision medicine. He is particularly interested in interpretable AI, clinical biostatistics, and the responsible deployment of data-driven technologies in healthcare.