Develop various machine learning and data mining models including deep convolutional neural networks (CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models and agentic AI Developing manifold learning (e.g., tSNE and UMAP) and unsupervised clustering to identify disease phenotypes Analyze electronics health record (EHR) data and retinal imaging including fundus photographs, fundus autofluorescence, optical coherence tomography (OCT), visual field, full-field electroretinograms (ffERG), and genetic data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma and other optic neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine.