Joseph Lillington

Joseph Lillingtons headshot

Joseph Lillington

Joseph has broad experience across data science, physics, and engineering, having previously gained degrees from Edinburgh, Imperial, and Cambridge. He recently submitted his PhD thesis in machine learning and computational modelling at the University of Cambridge, before joining the Health Economics Unit.

Joseph is looking forward to supporting the NHS by applying the skills that he has gained in his research training. He is passionate about applying his data science knowledge within healthcare systems to improve patient outcomes. He also strongly believes in the value of using machine learning to support population health.

Joseph is always keen to collaborate on projects and learn about the interesting work of others.

Meet the rest of our passionate team.

Our specialist services

This is a small selection of all the solutions we can provide.

Evidence generation

Understanding whether new care pathways and interventions are effective, efficient, and deliver value for money

Population health management

Using allocative efficiency techniques and population health analytics to improve value and deliver the best care possible

Advanced analytics

Using advanced techniques in machine learning, data science and casual inference to understand the biggest questions in health


Sharing our vast knowledge to develop NHS capability through training, research design advice and quality assurance