Dennis Levi wearing a VR headset
Photo: Elena Zhukova

Research Bio

Dennis Levi is a vision scientist whose research investigates visual development, amblyopia, and spatial vision. He is best known for his pioneering work on the neural mechanisms of amblyopia (lazy eye) and for developing perceptual learning approaches to improve visual function in adults. Levi’s research integrates psychophysics, computational modeling, and neuroscience to understand how the brain processes fine spatial detail and binocular vision. His work has advanced both basic vision science and clinical treatment strategies for visual disorders.

He is a Distinguished Professor of Optometry and Vision Science at UC Berkeley and former Dean of the School of Optometry. His research has been published in Science, Nature, Current Biology and Nature Neuroscience. Levi is a Fellow of the Optical Society of America and recipient of the Charles F. Prentice Medal for distinguished contributions to vision science. At Berkeley, he teaches visual perception and mentors students in psychophysics and vision neuroscience.

Research Expertise and Interest

optometry, vision science, pattern vision, abnormal visual development

In the News

Playing video games helps adults with lazy eye

African American activists have long recognized the potential power of visual imagery to advance their quest for self-determination. Faculty member Leigh Raiford, in a new book, explores the role of photography in the black freedom struggle — from the heyday of the white lynch mob to the Civil Rights movement and the Black Power era.

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Binocular Vision and Space Perception  [OPTOM 219]  

  • Binocular Vision and Space Perception  [OPTOM 219]  

  • Supervised Research: Biological Sciences  [UGIS 192C]  

  • Optical and Neural Limits to Vision  [VISSCI 260A]  

2025 Fall
  • Supervised Research: Biological Sciences  [UGIS 192C]  

  • Research in Vision Science  [VISSCI 299]  

2025 Spring
  • Supervised Research: Biological Sciences  [UGIS 192C]