In the DM2L lab
We are working on emerging deep learning, conventional machine learning, and big retinal and corneal data mining techniques to identify the onset and progression of different ocular conditions using novel imaging signatures.

Our ongoing projects could be of interest to students with background in computer science, engineering, biostatistics, or medicine. We typically work on retinal fundus photographs, visual fields, optical coherence tomography (OCT), medical records, and demographic parameters from patients with glaucoma, diabetic retinopathy, macular degeneration, keratoconus, and uveitis.