|Glaucoma, Ophthalmology Informatics and Data Science
|Washington State University
|University of California, San Diego
|Early detection and monitoring of glaucoma, Machine learning classifier analyses of imaging and visual function measurements
|View on PubMed
Christopher Bowd is an Research Scientist, Director of the Hamilton Glaucoma Center-based Visual Field Assessment Center (VisFACt) and Co-Director of the Hamilton Glaucoma Center-based Imaging Data Evaluation and Analysis (IDEA) Center. Dr. Bowd received his undergraduate degree from University of California, San Diego and his Ph.D. from Washington State University in Experimental Psychology / Neuroscience. He then returned to San Diego to become a Post-Doctoral Fellow at the UCSD Department of Ophthalmology, Shiley Eye Institute Glaucoma Center.
Dr. Bowd’s research interests include early detection and monitoring of glaucoma, including structure/function associations and machine learning analysis of optical imaging and psychophysical test results. He has been awarded investigator initiated grants from the Glaucoma Research Foundation and Pfizer Inc. for work in clinical applications of machine learning analysis techniques, a National Eye Institute R21 grant to study clinical electrophysiology in glaucoma and he currently holds a National Eye Institute R01 grant to investigate pattern analysis techniques for predicting and monitoring glaucomatous progression from imaging and psychophysical data. Since 1994, Bowd has co-authored over 130 peer reviewed journal articles and book chapters related to glaucoma (primarily), visual psychophysics (investigating mechanisms of stereoscopic motion) and visual attention.
Dr. Bowd is a member of the Association for Research in Vision and Ophthalmology and is an editorial board member of the International Glaucoma Review. He also is a frequent reviewer for several top-tier ophthalmology journals.
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