Hello!

I am a theoretical neuroscientist and research fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.

My research seeks to develop theories of neural circuits that link synaptic connectivity, neuronal dynamics, and computation. I use tools from statistical physics and machine learning to study high-dimensional nonlinear network models and to relate these models to data.

I received my Ph.D. in Neurobiology and Behavior from Columbia University in the Center for Theoretical Neuroscience, where I was primarily advised by Larry Abbott and worked with Ashok Litwin-Kumar and Haim Sompolinsky. Before that, I studied physics and computer science at UC Berkeley.

My publications are listed below, or see Google Scholar. My CV is here.

Outside of science, I see a lot of Broadway.

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