Main Menu (Mobile)- Block

Main Menu - Block

Ling-Qi Zhang

node:field_image_thumbnail | entity_field
custom_misc-custom_misc_featured_summary | block
Ling-Qi Zhang /

I study how the brain solves computational problem efficiently by leveraging statistical and structural regularities of the natural environment. To approach this question, I build normative models of behavior and neural computation.
janelia7_blocks-janelia7_secondary_menu | block
More in this Theory Fellow Landing Page
custom_misc-custom_misc_lab_updates | block
node:field_content_header | entity_field
Overview
node:body | entity_field

I am fascinated by how biological systems can solve challenging computational problems with remarkable efficiency. I take a normative approach in my research, thinking about how the brain can best achieve the behavioral goals of animals under various biological constraints. At Janelia, I am collaborating closely with experimental labs, with the aim of developing theories and models for animal behavior in naturalistic environment.

Previously, I received my Ph.D. from the University of Pennsylvania, working with David Brainard and Alan Stocker on computational models of perception, the visual system, and natural scene statistics. I also hold an M.A. in Statistics from Penn. Before that, I got my B.E. in Computer Science, from Southern University of Science and Technology in China.