Overview
My laboratory studies how the retina processes visual scenes and transmits this information to the brain. We use multi-electrode arrays to record the activity of hundreds of retina neurons simultaneously in conjunction with transgenic mouse lines and chemogenetics to manipulate neural circuit function. We are interested in three major areas. First, we work to understand how neurons in the retina are functionally connected. Second we are studying how light-adaptation and circadian rhythms alter visual processing in the retina. Finally, we are working to understand the mechanisms of retinal degenerative conditions and we are investigating potential treatments in animal models.
Current Appointments & Affiliations
Adjunct Associate Professor of Neurobiology
·
2023 - Present
Neurobiology,
Basic Science Departments
Faculty Network Member of the Duke Institute for Brain Sciences
·
2015 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Publications
Decomposition of retinal ganglion cell electrical images for cell type and functional inference.
Journal Article J Neural Eng · July 9, 2025 Objective.Identifying neuronal cell types and their biophysical properties based on their extracellular electrical features is a major challenge for experimental neuroscience and for the development of high-resolution brain-machine interfaces. One example ... Full text Link to item CiteProjection Targeting with Phototagging to Study the Structure and Function of Retinal Ganglion Cells.
Journal Article bioRxiv · June 28, 2025 UNLABELLED: Visual information from the retina is sent to diverse targets throughout the brain by different retinal ganglion cells (RGCs). Much of our knowledge about the different RGC types and how they are routed to these brain targets is based on mice, ... Full text Link to item CiteDecomposition of retinal ganglion cell electrical images for cell type and functional inference.
Journal Article bioRxiv · May 23, 2025 OBJECTIVE: Identifying neuronal cell types and their biophysical properties based on their extracellular electrical features is a major challenge for experimental neuroscience and for the development of high-resolution brain-machine interfaces. One example ... Full text Link to item CiteRecent Grants
Real-time mapping and adaptive testing for neural population hypotheses
ResearchAdvisor · Awarded by National Institutes of Health · 2022 - 2026Bridging gap in comparative biology using the tree shrew visual system
ResearchMentor · Awarded by National Institutes of Health · 2021 - 2023In Vivo Modeling of Mitochondrial Complex I Deficiency in Retinal Ganglion Cells
ResearchAdvisor · Awarded by National Institutes of Health · 2018 - 2023View All Grants
Education, Training & Certifications
University of Washington ·
2004
Ph.D.