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
We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.
Learn more: Musqueam First Nation
Faculty of Science
Office of the Dean, Earth Sciences Building2178–2207 Main Mall
Vancouver, BC Canada
V6T 1Z4