I’m an Associate Research Scientist at The Center for Theoretical Neuroscience at Columbia University and a rising Assistant Professor at Barnard College, Columbia University.
As a computational neuroscientist, my fascination with the brain arises from its ability to produce complex computations using organic materials that are very different from the materials that compose man-made computers. I aim to discover what the brain can teach us about how to implement these computations. Understanding this is equally important for elucidating the mechanisms of brain disorders and for the development of cutting edge technologies. My research has centered on understanding how local properties of neurons and circuits influence circuit-wide or network-wide behavior using my expertise in theory, my experience collecting experimental data using electrophysiology techniques, and my creative development of data visualizations. Over the course of my career, I’ve developed a knowledge and command of modeling frameworks that range from abstract, normative networks to biophysically realistic neuronal models.
Here are some of my other professional profiles.