Title: Predicting a Timeline of Risk for Alzheimer’s Disease Deterioration
Abstract: Accurately predicting when cognitive deterioration will occur is as clinically critical as predicting whether it will occur. This talk introduces state of the art survival-based artificial intelligence (AI) methods for Alzheimer’s disease (AD) prognostication, moving beyond traditional classification approaches.
Biography: Henry is a postdoctoral researcher in translational AI for healthcare. He works across the Department of Psychiatry, under the supervision of Dr Eolene Boyd, and the Department of Clinical Neurosciences, under Dr Tim Rittman. He recently completed a part-time PhD in Computer Science at Goldsmiths, University of London, under Dr Daniel Stamate, with a thesis entitled “Translational AI for Alzheimer’s Disease: Classification, Survival Risk, Synthetic Cohorts, and Blood Proteomics”. Before returning to academia full-time, Henry spent over a decade as a professional data scientist, working for some of the world’s largest organisations, including Visa, Omnicom, WPP, and the BBC.
Zoom details:
https://zoom.us/j/93711378882?pwd=ONUDhocbW7ucS5dRak0RGdZBC27ynz.1
Meeting ID: 937 1137 8882
Passcode: 845614
Posted on 11/03/2026
