
معرفی
Gabrielle Gutierrez is an Assistant Professor in the Neuroscience & Behavior department at Barnard College, Columbia University, and an affiliate of the Center for Theoretical Neuroscience at Columbia University’s Zuckerman Institute. Her research focuses on understanding how local neuronal properties influence network-wide behavior through computational models, electrophysiology, and novel visualization techniques. She holds a postdoctoral position in Applied Mathematics at the University of Washington.
Her expertise spans theoretical neuroscience, computational methods, and biophysical modeling. Her work explores rhythmic oscillators, synaptic modulation, and the functional roles of electrical synapses in neural circuits. She develops frameworks ranging from abstract networks to biophysically detailed models to elucidate brain computations and their technological applications.
Key interests include neuronal network robustness, degenerate mechanisms in circuit dynamics, and the interplay between cellular properties and network-level outputs. Her research bridges experimental data, mathematical modeling, and visualization to address fundamental questions in neuroscience.
While no awards or grants are explicitly listed, her work emphasizes interdisciplinary approaches to understanding neural computation and its implications for both brain disorders and technological innovation.




