I am a recent graduate with a masters in Computer Science. My thesis topic involved the creation of the largest glaucoma dataset in the world, the SMDG-19 dataset, which is a culmination of 19 standardized datasets. I have also created the EyePACS-AIROGS-light fundus dataset, which is an ideal benchmark for glaucoma classification models. Other notable work includes the largest glaucoma dataset catalog; which is actively maintained on github.

My work has been presented in numerous computer science conferences and medical conferences (AAO and ARVO). Sponsorships will help me continue to provide state-of-art advancements to glaucoma research.

Below are planned projects:

• Continued support for the glaucoma dataset catalog
• Fundus standardization algorithm
• Dataset updates and improvements
• Glaucoma classification algorithm advancements
• OD/OC segmentation algorithm advancements