I am an Assistant Professor of Physics and Applied Mathematics at Harvard University, where I am also an Institute Investigator at the Kempner Institute for the Study of Natural and Artificial Intelligence and a member of the Center for Brain Science. 

My research interests are at the intersection of theoretical and computational neuroscience, statistical physics and machine learning. I am interested in understanding computation in the brain and artificial neural networks by:

1. analyzing geometries underlying neural or feature representations, embedding and transferring information

2. developing neural network models and learning rules guided by neuroscience.

To do this, I use tools in statistical physics, machine learning, and high-dimensional geometry & statistics.