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 faculty 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, Simons Foundation. 

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.