Hello!

I am a neuroscience PhD candidate at Columbia University, primarily advised by Larry Abbott. I work in the Center for Theoretical Neuroscience.

Some characteristic features of neural circuits are 1) there are a lot of neurons, 2) neurons are nonlinear, 3) neurons engage in complex recurrent dynamics, and 4) connections between neurons change on a variety of timescales. In addition to making neural circuits hard to understand, these features underlie computation and learning. A major challenge is to understand how this works. My research approaches this challenge using tools from statistical physics and machine learning.

My publications are listed below, or see Google Scholar.