Dr. Kevin Chan

Associate Professor

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Biography

Kevin Chuen Wing Chan is an Associate Professor in the Department of Ophthalmology at Stanford University School of Medicine, where he directs the Neuroimaging Visual Science Laboratory. His research focuses on developing and applying new, non-invasive imaging methods to investigate neurodegeneration, neurodevelopment, neuroprotection, neuroplasticity, and neuroregeneration related to vision-related diseases and injuries. Dr. Chan leads projects funded by various federal grants that utilize structural, metabolic, physiological, and functional magnetic resonance imaging (MRI) to explore eye and brain health in human and animal models afflicted by glaucoma and visual impairments. His research team combines optical coherence tomography with advanced MRI techniques and neuromodulation and psychophysical assessments to study the interplay between the eye, brain, and behavior, aiming to guide strategies for vision preservation and restoration. Chan has received numerous awards for his contributions, including the ARVO Gold Fellow designation, and he continues to engage in a series of professional organizations that contribute to advancements in the field.

Research Interests

Experience

Associate Professor

2010-01-01 — Present

Stanford University • Stanford, CA

Leading research on glaucoma and visual health in the Department of Ophthalmology.

Awards

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ARVO Gold Fellow

2024-01-01
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Senior Achievement Award

2024-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.