WinR Research Conference at ARVO

The WinR Section will host its annual WinR Research Conference on Sunday, May 3, from 6:30 PM – 8:00 PM during the ARVO 2026 Annual Meeting in Denver, Colorado. The event will showcase outstanding research by ASRS members while providing an opportunity to connect with peers and mentors in an engaging and supportive setting.

Selected presenters will deliver five-minute presentations highlighting their research. Presentations will compete for the Mina Chung Memorial WinR Research Award, which includes a $2,000 grant to attend the ASRS 2026 Annual Meeting in Montréal, Canada.

Abstract Submission Guidelines:

Abstracts should be 250 words or fewer and include:

  • Title
  • Purpose
  • Methods
  • Results
  • Conclusion
  • Co-authors (if applicable)
  • Figures or tables (optional)

A panel of experts will review submissions and select the top abstracts for presentation. During the conference, panelists will provide feedback and mentorship on the research and presentations.

📅 Submission Deadline: March 28

📧 Submit abstracts to: Joshua.Friedman@asrs.org

Attend the Event

The WinR Research Conference is complimentary and open to all ASRS members. Interested in attending but not presenting? Register here by April 24.

Who Should Submit?

  • Fellows in training and residents: This event is designed with you in mind—an excellent opportunity to showcase your research and gain mentorship!
  • Early career members: If you have been in practice three years or less, we would love to see your work as well!
  • Fellowship directors: Please encourage your fellows to participate!
Tammy Hsu, MD (left) took first place at the 2024 conference for her work "Feasibility of Screening for Pediatric Retinal Disease in Children Without Pharmacologic Dilation" Tsai-Chu Yeh, MD, MTM (center) took first place at the 2025 conference for her work "Quantification of Choroidal Neovascularization and Fluid Volume Changes in Age-related Macular Degeneration Following anti-VEGF Therapy Using Three-dimensional Voxelized Analysis"