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.

Evaluation service

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

Economic evaluations

Inform your decision-making by quantifying the expected health benefits and costs related to alternative options.

Demand and capacity modelling

Understand pathways and how different elements come together, assess and explain current service levels and variations in demand.

Population health analytics

Identify patterns of health outcomes in different groups and understand the challenges and risks they face.