Biography

Dr. Qingying Jin was a postdoctoral research fellow in Harvard AI Lab from 2014 to 2015. Dr. Jin is an associate professor of Psychology at Jilin University. Her research interests focus on the functional characterization of eye diseases like glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy, the relationship between retinal structure and functional vision loss, and the effect of lifestyle on the eye.

Publications

1. Association of patient race and Hispanic ethnicity with age and severity of glaucomatous vision loss at first visit. Investigative Ophthalmology & Visual Science, 2021.
2. Age-specific sex distributions of posterior-segment eye diseases. Investigative Ophthalmology & Visual Science, 2020.
3. Association between serum lipid parameters and retinal nerve fiber layer characteristics. Investigative Ophthalmology & Visual Science, 2019.
4. Effect modification of refractive error on visual field pattern deviation in glaucoma. Investigative Ophthalmology & Visual Science, 2018.
5. Quantifying positional variation of retinal blood vessels in glaucoma. PLoS ONE, 2018.
6. The interrelationship between refractive error, blood vessel anatomy, and glaucomatous visual field loss. Translational Vision Science & Technology, 2018.
7. Ametropia, retinal anatomy, and OCT abnormality patterns in glaucoma. 1. Impacts of refractive error and interartery angle. Journal of Biomedical Optics, 2017.
8. Ametropia, retinal anatomy, and OCT abnormality patterns in glaucoma. 2. Impacts of optic nerve head parameters. Journal of Biomedical Optics, 2017.
9. The effects of refractive error and related optic nerve head (ONH) anatomical parameters on Optical Coherence Tomography (OCT) retinal nerve fiber layer (RNFL) deviation map. Investigative Ophthalmology & Visual Science, 2017.
10. Glaucoma structure-function modeling improves by combining retinal nerve fiber layer thickness (RNFLT) with neuro-retinal rim thickness (NRRT) measurements. Investigative Ophthalmology & Visual Science, 2017.
11. Impact of anatomical parameters on optical coherence tomography retinal nerve fiber layer thickness abnormality patterns. Proceedings of SPIE, 2017.
12. Combining retinal nerve fiber layer thickness with individual retinal blood vessel locations allows modeling of central vision loss in glaucoma. Proceedings of SPIE, 2017.
13. Motion artifacts and missing data in Spectral-Domain Optical Coherence Tomography measurements. 2015 ARVO Imaging in the Eye Conference, Denver, USA.