Aaron Lee is a vitreoretinal surgeon at the University of Washington and Veterans Affairs with a research focus in clinical big data and applying novel computational techniques to ophthalmology. Aaron obtained his undergraduate degree from Harvard University, and attended Washington University in St. Louis for medical school and ophthalmology residency. He obtained subspecialty training at Moorfields Eye Hospital in London and the University of British Columbia. He has been working with large datasets since 2001 and has expertise in databases, distributed programming, web technology, and deep learning.
Hear about how GPU technology is disrupting the way your eye doctor works and how ophthalmic research is performed today. The rise of electronic medical records in medicine has created mountains of big data, particularly in ophthalmology, where many discrete quantitive clinical elements like visual acuity can be tied to rich imaging datasets. We'll explore the transformative nature that GPU acceleration has played in accelerating clinical research and show real-life examples of deep learning applications to ophthalmology in creating new steps forward in automated diagnoses, image segmentation, and computer-aided diagnoses.