Harvard School of Public Health (MS), Ben-Gurion University of the Negev (PhD)
To improve our understanding of the complex relationship between structural and functional change over time in the aging and glaucoma eye. To develop computational and statistical techniques to improve glaucomatous change detection, reduce the number of visits and optimize the type of testing required To identify risk factors that can predict glaucomatous progression and rapidly progressing glaucoma.
Linda Zangwill, PhD, is a Distinguished Professor, the Richard K. Lansche MD and Tatiana A. Lansche Endowed Chair, and Director of Clinical Research in the Viterbi Family Department of Ophthalmology of the Shiley Eye Institute at the University of California San Diego.
Dr. Zangwill received her MS from the Harvard School of Public Health and her PhD in epidemiology from Ben-Gurion University of the Negev, Israel. Her research focuses on advancing understanding of the relationship between structural and functional change over time in the aging and glaucomatous eye; developing methods to distinguish between highly myopic eyes with and without glaucoma; and applying artificial intelligence and machine learning to improve glaucoma detection and identify individuals at highest risk of visual impairment.
Dr. Zangwill serves as Director of the Shiley Eye Institute Clinical Research Unit (SEI-CRU), the Imaging Data Evaluation and Analysis (IDEA) Center, and the Visual Field Assessment Center (VisFACT).
Dr. Zangwill oversees the clinical research enterprise at the Shiley Eye Institute in her role as Director of the SEI-CRU.
As Director of the IDEA Center and VisFACT Dr. Zangwill has developed and implemented protocols for utilizing diagnostic instruments in national and international multi-center clinical trials of glaucoma and ocular hypertension.
Dr. Zangwill also serves in leadership positions for the NIH-funded Bridge2AI AI-READI (AI Exploratory Atlas for Diabetes Insights) and AIM-AHEAD training programs, helping prepare the next generation of investigators to apply data science and artificial intelligence to high-priority health care challenges.