The primary goal of my research program is to develop novel methods and instrumentation for the non-invasive evaluation of the visual and oculomotor systems in both normal and diseased states. I am particularly interested in developing enabling technologies to measure and analyze eye movements.

Current research projects:

1) Cognitive biases in information processing play an important role in the etiology and maintenance of psychiatric disorders. We are developing methods to detect and monitor such biases in patients with eating disorder, major depressive disorder, bipolar disorder, Alzheimer disease and concussion.

2) Visual field (VF) testing is of fundamental importance in the diagnosis and treatment of glaucoma. We are developing an inexpensive technology to support robust and accurate visual field testing at home. The technology can be used for both glaucoma screening and for earlier and more robust detection of visual field loss.

3) Eye movements can be used as indicators of cognitive, psychiatric and neurological states of individuals. We are developing low-cost, robust, and accurate eye tracking technology for smartphones and virtual reality headsets to measure eye movements.

Related Links

For a list of Dr. Eizenman's publications, please visit PubMed or Scopus.


Professor, Institute of Biomaterials and Biomedical Engineering (IBBME), University of Toronto
Professor, Department of Ophthalmology and Vision Sciences, University of Toronto.
Professor, Department of Electrical and Computer Engineering, University of Toronto
Adjunct Professor, Department of Optometry, University of Waterloo