David P. Crabb

Professor David P. Crabb is a leading researcher in the Department of Optometry and Visual Science within the School of Health Sciences at City, University of London. With over 180 publications spanning from 2010 to 2025, his work has significantly contributed to the fields of glaucoma research, age-related macular degeneration, and visual field testing methodologies. He is particularly known for his involvement in the MACUSTAR study, a major international research initiative focused on developing clinical endpoints for intermediate age-related macular degeneration.

Crabb's research interests span a wide range of ophthalmic topics with particular emphasis on visual field progression in glaucoma, structure-function relationships in retinal diseases, and patient-centered outcomes in eye care. His work has consistently bridged the gap between clinical practice and research methodology, developing novel approaches to visual field testing and analysis. He has made substantial contributions to understanding eye movements in patients with visual field loss and their implications for daily functioning.

His recent publications (2024-2025) demonstrate continued leadership in the field, with significant contributions to MACUSTAR study reports, glaucoma progression analysis, and patient-centered research in geographic atrophy. These works showcase his dual focus on technical innovation in visual assessment and the practical implications for patient care and quality of life.

Professor Crabb has collaborated extensively with international research groups across Europe and has contributed to major multicenter studies including the United Kingdom Glaucoma Treatment Study (UKGTS) and the LiGHT trial. His work frequently appears in top ophthalmology journals including Ophthalmology, Investigative Ophthalmology & Visual Science, and American Journal of Ophthalmology.

His research methodology often combines traditional clinical approaches with advanced data analysis techniques, including machine learning applications for predicting visual field progression and optimizing testing protocols. This interdisciplinary approach has positioned him as a key contributor to evidence-based practice in ophthalmology.