I am an Assistant Professor of Physics and of 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 in the Center for Brain Science. In addition, I hold a part-time appointment at the Center for Computational Neuroscience at the Flatiron Institute (a research division of Simons Foundation focused on computation). 

My research interests are at the intersection of computational neuroscience and deep 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.