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Yuen Ying Chan | UT Health San Antonio

Contact

chany@uthscsa.edu

Yuen Ying J Chan, O.D.

Dr. Jacqueline Y. Chan earned her doctor of optometry degree from University of the Incarnate Word Rosenberg School of Optometry in San Antonio, Texas. With experience in hospital settings and private practices, Dr. Chan brings to the clinic her expertise of low vision, vision therapy, ocular disease and routine eye care. She teaches clinical practice and vision rehabilitation to ophthalmology residents, medical residents, and medical students. She is fluent in English and Chinese.

  • Professional Background

    Education

    • 2016 - Clinical Fellowship - Optometry (Fellowship) - American Academy of Optometry
    • 2014 - Optometry - University of Incarnate Word Rosenberg School of Optometry

    Appointments

    • 4/2019 - Assistant Professor/Clinical San Antonio Lighthouse for the Blind - UT Health San AntonioSan Antonio
    • 8/2015 - Nancy Hurd Smith Endowed Chair of Low Vision Research - University of Texas Health Science Center San Antonio, Ophthalmology, San Antonio
    • 10/2014 - Director of Lions Low Vision Center of Texas - University of Texas Health Science Center San Antonio, Linos Low Vision Center of Texas, San Antonio
    • 10/2014 - Assistant Professor/Clinical Lions Low Vision Center of Texas and Optometrist - University of Texas Health Science Center San Antonio, Ophthalmology, San Antonio
  • Research & Grants

    Grants

    Private

    Funding Agency
    Voelcker Foundation

    Title
    Voelcker Grant (Co-PI: Chan)

    Status
    Complete

    Period
    7/2015 - 6/2018

    Role
    Co-Investigator

    Grant Detail
    $450,000 from 7/1/2015 to 6/30/2018 Title: Vascular Dysfunction and Hypoxia in Macular Degeneration To use novel magnetic resonance imaging (MRI) methods we developed to detect physiological changes in age-related macular degeneration (AMD) and compare with clinical eye exams. Our hypothesis is that reduced choroid blood flow and ocular oxygen and increased vascular leakage will detect AMD patients at a high-risk and help monitor effectiveness of treatment. Role: Co-PI

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