Collaborates with the Department of Ophthalmology to develop interpretable algorithms for improved clinical decision-making; analyzes fundus images and OCT data, focusing on major causes of vision impairment such as diabetic retinopathy and age-related macular degeneration.
Background
Research interests include using data science methods to advance neuroscience and ophthalmology. Specializes in generating knowledge from complex datasets through machine learning, mechanistic modeling, and visualization.