FPRC Ophthalmic Imaging Research Fellowship

Ophthalmic Imaging Research Fellowship

Mentors: Drs. Barbara Blodi and Amitha Domalpally

Background

The Fundus Photograph Reading Center (FPRC) within the Department of Ophthalmology and Visual Sciences provides image evaluation services in support of clinical trials and epidemiologic studies of eye diseases. In partnership with the National Institutes of Health (NIH), the FPRC has developed scientific methodologies for the analysis of ophthalmic images. The FPRC participates in a number of clinical trials with a large dataset of standardized images in retinal diseases. Images are received from clinics all over the world with more than 30,000 images evaluated per year.

Position

The ophthalmic imaging research fellowship at the Fundus Photograph Reading Center (FPRC) is a one-year, pre-residency research fellowship. The fellowship includes exposure to and training in the analysis of retinal images such as optical coherence tomography (OCT), OCT angiography, ultra wide-field imaging, color photographs, autofluorescence images, and fluorescein angiograms. The fellow will be involved in multiple projects assessing novel biomarkers and imaging outcomes for diseases such diabetic retinopathy and macular degeneration. There will be an opportunity to collaborate on new and ongoing research aimed toward conference presentations and publications.

Application for the research fellowship should include the following:

  • Official USMLE STEP 1 and 2 score reports and medical school transcript
  • Letters of recommendation
  • Personal statement reflecting upon how this fellowship will help you and future goals (1-page maximum)

2020 FPRC Imaging Fellowship Application

  • Drop files here or
    Accepted file types: doc, docx, pdf.
    Official USMLE STEP 1 and 2 score reports; in addition to the candidate's medical school transcript
  • Drop files here or
    Accepted file types: doc, docx, pdf.
  • Drop files here or
    Accepted file types: doc, docx, pdf.

Unable to parse carreer list data.