About Me

Ewan Carr

Reader in Biostatistics

I’m a Reader in Biostatistics at King’s College London, where my research sits at the intersection of data science, digital health, and mental health care. I work on developing and evaluating clinical prediction models using real-world data—including electronic health records, smartphone-based assessments, and wearable sensors—with the goal of improving clinical decision-making and patient outcomes.

My current projects include tools to support stratified treatment for depression, methods for assessing fairness in predictive models, and software to guide sample size calculations in machine learning studies. Much of this work is done in collaboration with clinicians, computer scientists, and industry partners.

I’m committed to open, reproducible science and to building tools and workflows that make robust statistical methods more accessible to health researchers. I also teach and supervise across postgraduate programmes in statistics and health data science, and enjoy mentoring early-career researchers.