Dr Daniel Bean is a UKRI Innovation Fellow funded by Health Data Research UK. He works closely with clinical collaborators across King’s Health Partners applying machine learning to patient records at scale.
Daniel’s research develops machine learning methods based on knowledge graphs that combine large public datasets with health records to predict and explain patient outcomes. The focus is on delivering real world clinical value through multiple clinical collaborations including atrial fibrillation management, patient flow, adverse drug reactions, cancer subtyping and kidney failure.
Daniel did his PhD at Cambridge University, where he worked on applying systems biology methods to neurodegenerative disease, before joining the Dobson group in 2016 as a postdoctoral research fellow in the NIHR Maudsey BRC.
Helping to create tomorrow’s health data science leaders through the HDR UK NPIF Fellowship programme