Our interdisciplinary research program at the NOVA Lab leverages computational techniques, data science, psychophysics, imaging, and artificial intelligence (AI) to pioneer advancements in visual health. Our goals include democratizing and increasing accessibility of data-scientific techniques for building AI-based systems that can analyze health data at both the individual and population level, as well as advancing our understanding of the brain mechanisms and processes involved in visual recognition. Through collaborations across disciplines, our group has developed several innovative data-scientific methods for extracting information from medical, neuroimaging, and behavioral data. Our work addresses key challenges aiming to improve diagnosis, treatment, and rehabilitation in eye and brain disorders.
Musqueam First Nation land acknowledegement
UBC Science acknowledges that the UBC Point Grey campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm.
Learn more: Musqueam First Nation
Data Science Institute
EOS Main Building6339 Stores Road, Room 113C
E-mail dsi.admin@science.ubc.ca
Faculty of Science
Office of the Dean, Earth Sciences Building2178–2207 Main Mall
Vancouver, BC Canada
V6T 1Z4