Aaron is a National Library of Medicine Pre-doctoral Fellow studying Bioinformatics and Computational Biology at Oregon Health & Science University (OHSU). Prior to beginning his PhD, he received his undergraduate degree in Biochemistry from Pacific Lutheran University in Tacoma, WA, and worked as a research assistant in an ophthalmic genetics lab at Casey Eye Institute, OHSU. Although still early in the program, Aaron plans to focus his dissertation work around the utilization of machine learning algorithms for image quality assessment and disease diagnosis, and their implementations in telemedicine applications for the disease retinopathy of prematurity.
Areas of interest
- Machine Learning
- Deep Learning
- Image Analysis
- Retinopathy of Prematurity
- A.A.S., Pierce College, Lakewood Washington United States 2012
- B.S., Pacific Lutheran University, Tacoma Washington United States 2014
Memberships and associations
- Association for Research in Vision and Ophthalmology
- American Medical Informatics Association
Coyner AS, Swan R, Campbell JP, et al. Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Ophthalmology Retina. In press.
Coyner AS, Campbell JP, Chiang MF. Demystifying the Jargon: The Bridge between Ophthalmology and Artificial Intelligence. Opthalmology Retina. 2019 Apr; 2019(4):291–293.
Coyner AS, Swan R, Brown JM, et al. Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. AMIA Annu Symp Proc. 2018 Dec;2018:1224–1232.
Coyner AS, Ryals RC, Ku CA, et al. Retinal Neuroprotective Effects of Flibanserin, an FDA-Approved Dual Serotonin Receptor Agonist-Antagonist. PLoS One. 2016;11(7):e0159776.